^2nd International Conference and Business Expo on Wireless & Telecommunication April 21-22, 2016 The Oberoi Centre, Dubai, UAE

Biography:

Kishwer Abdul Khaliq is a Ph. D. Candidate in the Department of Production Engineering in the University of Bremen, Germany. She has completed her MS in Multimedia and Communication Network from Mohammad Ali Jinnah University Islamabad. Her area of interest is routing protocols, congestion control in the domain of adhoc networks. She worked two years as Worked as Research Engineer in "Design and Development of Hybrid IPv4 and IPv6 Network for QoS Enabled Video Streaming Multicast Application" project at CoReNeT (Center of Research in Network and Telecom), Muhammad Ali Jinnah University, Islamabad funded by ICT R&D Fund, Ministry of Information Technology, Govt. of Pakistan.

Abstract:

The Intelligent Transport Systems (ITS) is one of the transport topics in the “Mobility and Transport” project of the European commission (EC), which deals with the traffic management, safety and efficiency among many target transport mode. It applies information and communication technologies like computers, electronics, satellites and sensors to improve our transport system day-by-day. These technological possibilities require us to rethink design, implementation and deployment of existing technologies in different transport modes like road, air, water, and rail to provide new services for passengers and freight transport. Vehicular Ad-hoc Network (VANET) is one of the key technologies of Intelligent Transport Systems (ITS), which helps in road safety, efficient traffic management, fleet management, logistics and transportation. The objective of this talk is to give an overview of the implication of different technologies and placement of VANET in transportation and specifically in logistics. An overview of the current projects regarding VANET for safety and non-safety applications and additionally discussion on current and potential domains in logistics in which new applications can improve efficiency.

Biography:

Dr. Mihai Sanduleanu is a Professor at Masdar Institute of Science and Technology. He worked in different research institutions like: Philips Research Lab, IMEC Leuven, IBM T.J. Watson Research Lab and has over 20 years of experience in Integrated Circuit Design. Mihai Sanduleanu holds two MSc degrees and a PhD degree, all in Electrical Engineering. He published more than 60 papers in International Journals and Conferences and he holds more than 50 US patents.

Abstract:

The advent of the Internet of Things (IoT) demands the availability of cheap, low power, miniature radios. The radio should be integrated on a single chip, together with embedded processors, and integrated in the same package with different sensors. The basic idea of IoT is the pervasive presence around us of a variety of objects dubbed “things” –such as RFID tags, sensors, actuators, mobile phones, etc. – which, through unique addressing schemes, are able to interact with each other and cooperate with their neighbors to reach common goals. The requirement on the sensor nodes to be autonomous translates to minimal maintenance cost and longer battery life, and hence mandates low-power operation across all layers of the communication system hierarchy. For IoT, the radio is one of the bottlenecks in terms of power consumption, and is operated in duty-cycled fashion to sustain several years of autonomous operation. The existing wireless standards in the low GHz frequency range, cannot cater to the needs of IoT Transceivers. Transceivers operating in these crowded bands, need absolute frequency accuracy and external components such as crystals and/or resonators. In addition, the antenna size is too big to be integrated in a small package with the sensors. Therefore, a paradigm shift is needed, in the quest for Ultra-Low power Transceivers with a minimalist design approach, without compromising robustness and providing a viable solution for IoT Transceivers. This talk will address few examples of mm-Wave Transceivers, for IoT, developed at Masdar Institute of Science and Technology, with small footprint and extreme low energy-per-bit.

Biography:

Mr. Junfeng Zhao, senior manager in Shannon Lab Huawei Technologies, has been leading and managing projects on Data Center Releated. His research interests are in data intensive computing, computer architecture, and cloud computing. He has great efforts in the research of Data Center systems, software/hardware design, and computer server techniques. He has received the honor of CEO Award of Excellence several times due to his outstanding contributions. He has many patents, has published a number of journal and conference papers. He has also served as a Technical Committee Member for many high quality conferences. He is a member of IEEE and ACM.

Abstract:

A growing number of enterprises use cloud computing to build their big data projects because the cloud offers a cost-effective way to support big data technologies and the advanced analytic applications that respond to real business needs and drive commercial values. Cloud computing provides a wide range of infrastructure and software services and manages large numbers of virtualized resources, which makes advantageous computing paradigms available for big data. A modern cloud can behave virtually like a local homogeneous computer cluster, providing high performance, data intensive computing platforms for public use. These platforms can potentially enhance business agility and productivity while enabling greater efficiencies and reducing costs. In this work, a service oriented hierarchical model is introduced to assist the assurance of the high performance business service over the virtual clusters on a cloud where the data intensive computing paradigms are deployed. This model is especially illustrated by exploiting and modeling the business workload characterization, constraints in software stack and low-level distributed resources. The modeling mechanisms, including the primitives and functionalities, are formulated. The service-oriented model aids in systematic and hierarchical development of global optimization for big data analytics on a cloud. It is suitable for government, education, finance, medical, telecom and other industries and for all types of offices, including branches, call centers and mobile office situations. A cloud solution for big data is an end-to-end solution covering hardware, software, network, terminal, security, consulting and design services. Cloud servers are composed of a cloud OS and virtualized platforms. Through centralized managing and sharing of computing and storage resources, the cloud platform helps customers solve the problems of traditional clusters and allows them to enhance information security, improve O&M efficiency and create a truly mobile office while improving service reliability. Cloud hardware integrates computing, storage and network. The computing devices usually include a multi-core CPU, a GPU, an FPGA and other multiprocessing facilities. Smart storage engines, intelligent networks, SSD caching mechanisms and other innovations work together to achieve high performance. Systems are designed as pre-validated infrastructure under unified physical and virtual resource management. Big data analytics on a cloud are expanding rapidly in terms of the increase in the workload and variety of businesses on a cloud. For example, some of the big data workloads have more branch operations, some are data-movement-dominated-computing, and some have larger instruction footprints. Typically, Hadoop- and Spark-based big data workloads have higher front end stalls, and complex big data software stacks fail to use state-of-practice processors efficiently. The architectural designs of the cloud services have to meet the performance requirements of the specific business characterizations. Service models developed by analyzing the factors of workload, cost, security and data interoperability are vital to performance. Depending on the usage scenario and the performance requirements, the best use of the cloud platform may be to focus on analytics as a service (AaaS). Cloud service models can help accelerate the potential for scalable big data analytics solutions. Cloud based big data analytics is not a one-size-fits-all solution. Organizations using cloud infrastructure to provide AaaS have multiple options. Businesses with varying needs and budgets determine the strategies to create a service model in cloud environments. Computing power and storage capacity via cloud services for certain analytics initiatives provide added capacity and scale as needed. Based on the service model for a business on a cloud, data localities need to be designed to analyze the data either in a cloud data center or in edge systems and client devices. By focusing on handling the critical configurable design constraints at each level of a cloud platform, optimized big data analytic services can be approached based on the above service-oriented model to achieve the best possible performance. The model allows obtaining design characteristic values in the early design stage, thus benefitting the cloud administrator by providing the necessary workload information for choosing the best computing, storage and network alternatives. The model is embedded in the management system: it allows access to everything, including switches, virtual machines, storage volumes, applications provisioning, automation and security. The model supports the suggestion of flexible compute/storage configurations, scalabilities, configuration/expansion on demand and improvement of storage I/O performances. Working together with the cloud management system, the service-oriented model virtualizes and schedules computing, storage and network resources and provides services such as elastic computing, load balancing and virtual private cloud. Finally, the hardware software synergy to achieve application optimization.

Biography:

Dr. Cam Nguyen is the Texas Instruments Endowed Professor of Electrical and Computer Engineering at Texas A&M University, College Station, Texas. He was Program Director at the National Science Foundation during 2003-2004, leading and managing the Foundation’s research programs in RF and wireless technologies. Over the past 36 years, including 12 years at TRW (now Northrop-Grumman), Hughes Aircraft (now Raytheon), Martin Marietta (now Lockheed-Martin), Aeroject Electrosystems, and ITT Gilfillan, Prof. Nguyen has led numerous RF projects for wireless communications, radar and sensing up to 220 GHz. He has published 6 books, six book chapters, over 270 papers, and given more than 160 conference presentations. Professor Nguyen is a Fellow of the IEEE.

Abstract:

Wireless communications and sensing have become an indispensable part of our daily lives from communications, public service and safety, consumer, industry, sports, gaming and entertainment, asset and inventory management, banking to government and military operations. As communications and sensing are poised to address challenging problems to make our lives even better under environments that can potentially disrupt them, like highly populated urban areas, crowded surroundings, or moving platforms, considerable difficulties emerge that greatly complicate communications and sensing. Significantly improved communication and sensing technologies become absolutely essential to address these challenges. Typical millimeter-wave communications and sensing systems are operated in a single frequency band. As the millimeter-wave technology and systems are being pushed further to produce next-generation versatile low-cost miniature systems that could accommodate not only existing and emerging but also future applications and needs, the demand of multiband millimeter-wave technology in general and systems in particular is no longer “luxury,” but is a “necessity.” Millimeter-wave systems working over multiple bands provide significant advantages in terms of cost, size, operation, versatility, and could open up many applications that have been prohibited due to the unavailability of such systems. Particularly, a multiband millimeter-wave system that integrates “electrically” the functions at multiple bands into a single system, effectively allowing a single system to function as multiple distinct systems, each operating in a separate band, together is doubly significant. These unique features, not currently available in systems operating at millimeter-wave frequencies, will push the system performance to a next level for communications and sensing, where multiband and multifunction, and multi-operation with low-cost miniature systems become essential. Silicon-based Radio-Frequency Integrated Circuits (RFICs) are the backbone of advanced wireless communication and sensing systems, enabling low-cost, small-size, and high-performance system-on-chip solution that facilitates the realization of low-cost miniature systems and large system networks consisting of thousand or more elements. Research in millimeter-wave multiband RFIC technology and systems provides significant benefits. Multiband RFICs are inevitable in current and future advanced wireless communication systems, such as mobile phones, and sensing systems such as medical/healthcare devices. In this talk, we will present our research in millimeter-wave multiband RFIC chips for communications and sensing systems and some of the recent developments that we achieved with unprecedented performance.

Biography:

Michelle Antero is an Assistant Professor at Zayed University. She received her Ph.D. degree in Information Systems from the Copenhagen Business School, Denmark and her M.Sc. in Analysis, Design and Management of Information Systems at London School of Economics and Political Science, UK. Her research looks into the use of mobile technology to innovate, come up with various business models, achieve competitive advantage and sustainability. She also spent 14 years working in telecommunication and consulting companies in the San Francisco Bay Area and Silicon Valley in the U.S.

Abstract:

The use of information systems to find efficiencies in the supply chain has long been studied since the late ‘70s with material requirements planning (MRP). Coupled with the growing social responsibility to obtain sustainability, this paper explores the use of mobile technologies as a tool to increase efficiencies in the supply chain, particularly in logistics. By leveraging real-time and contextual information about its logistics, businesses can make strategic decisions that lead to efficiencies and sustainability regarding transporting inventory. In particular, it investigates how to manage inventory replenishment while considering the time, capacity and routing of delivery trucks in a vendor managed inventory (VMI) scenario. Furthermore, It looks at the use of sensors, global positioning systems, and other telecommunication technologies to determine whether it is optimal to fulfill the inventory in a particular location. It demonstrates that the ability to make real-time decisions by analyzing contextual data about inventory availability not only contributes to efficient logistics but also solves the sustainability issues such as carbon emissions and reduction of fuel consumption. Future work can look into the adoption of alternative models to maximize the routing of delivery trucks in conjunction with existing forecasting models, and the creation of policy recommendations to be adopted by businesses.

Biography:

Haithem Ben Chikha was born in kerkennah Islands, Tunisia, 1979. He received the Dipl.M.S. degree in New Technologies of Dedicated Computer Systems, from the National Engineering School of Sfax, Tunisia, in 2006. In 2012, He received his Ph.D. degree in Telecommunications from both the National Engineering School of Tunis, Tunisia and University of Valenciennes, France. In September 2012, Dr. Ben Chikha joined the Department of Communications and Networks Engineering at National Engineering School of Gabes, Tunisia, as an Assistant Professor. He is a member of SERCOM laboratory, Tunisia Polytechnic School, University of Carthage. His current research interests include wireless communication networks, Turbo coding, network coding, cognitive radios, ad hoc networks and MIMO/cooperative communications.

Abstract:

In wireless sensor networks (WSNs), reducing sensor node energy consumption and increasing network lifetime are becoming more and more challenging due to large scale. Hierarchical protocols, especially Low Energy Adaptive Clustering Hierarchy (LEACH), are considered as the best energy-efficient for WSNs. However, LEACH need to be enhanced to support scalability in large WSNs. In this context, the proposed protocols, multi-hop dynamic clustering LEACH (MDLEACH) and mobile multi-hop LEACH, prove that the performances are better than conventional LEACH in terms of network lifetime, energy consumption and data transmission.

Biography:

Munir Majdalawieh is an academic researcher and a practicing Enterprise Information Systems and business development professional. Currently he is an associate professor at Zayed University (ZU). Prior to joining ZU in 2012, he worked for the American University of Sharjah (AUS) in UAE for six years and worked for Booz Allen Hamilton, Hewlett Packard Compaq Computer Corporation, and Digital Equipment Corporation in the United States for more than 22 years. He has published several peer-reviewed papers in international journals and conference proceedings covering topics like enterprise business processes, SCM/Logistics, Green computing, internal auditing and control, IT security and privacy, risk management, corporate and IT governance and strategic changes in IT/IS technologies and management. Dr. Majdalawieh obtained his Ph.D. in Information Technology and his EMBA from George Mason University in Virginia and his M. Sc. in computer Science and Applied Math from Northeastern University in Massachusetts.

Abstract:

The use of information systems to find efficiencies in the supply chain has long been studied since the late ‘70s with material requirements planning (MRP). Coupled with the growing social responsibility to obtain sustainability, this paper explores the use of mobile technologies as a tool to increase efficiencies in the supply chain, particularly in logistics. By leveraging real-time and contextual information about its logistics, businesses can make strategic decisions that lead to efficiencies and sustainability regarding transporting inventory. In particular, it investigates how to manage inventory replenishment while considering the time, capacity and routing of delivery trucks in a vendor managed inventory (VMI) scenario. Furthermore, It looks at the use of sensors, global positioning systems, and other telecommunication technologies to determine whether it is optimal to fulfill the inventory in a particular location. It demonstrates that the ability to make real-time decisions by analyzing contextual data about inventory availability not only contributes to efficient logistics but also solves the sustainability issues such as carbon emissions and reduction of fuel consumption. Future work can look into the adoption of alternative models to maximize the routing of delivery trucks in conjunction with existing forecasting models, and the creation of policy recommendations to be adopted by businesses.

Biography:

Da Qi Ren, Principal Engineer, Huawei Dr. Ren, a staff research engineer of Futurewei Technologies in Santa Clara, CA, USA, has more than 12 years of experience in high performance computing and architectures. His research focus has been in the areas of formal methods, parallel and distributed processing, big data analytics, software design and optimization, HPC, and computational electromagnetics. He has 11 patents, and has published 60 journal and conference papers. Dr. Ren received his Ph.D. from McGill University. He was a postdoctoral researcher in the University of Tokyo. He is a member of IEEE and ICS.

Abstract:

A growing number of enterprises use cloud computing to build their big data projects because the cloud offers a cost-effective way to support big data technologies and the advanced analytic applications that respond to real business needs and drive commercial values. Cloud computing provides a wide range of infrastructure and software services and manages large numbers of virtualized resources, which makes advantageous computing paradigms available for big data. A modern cloud can behave virtually like a local homogeneous computer cluster, providing high performance, data intensive computing platforms for public use. These platforms can potentially enhance business agility and productivity while enabling greater efficiencies and reducing costs. In this work, a service oriented hierarchical model is introduced to assist the assurance of the high performance business service over the virtual clusters on a cloud where the data intensive computing paradigms are deployed. This model is especially illustrated by exploiting and modeling the business workload characterization, constraints in software stack and low-level distributed resources. The modeling mechanisms, including the primitives and functionalities, are formulated. The service-oriented model aids in systematic and hierarchical development of global optimization for big data analytics on a cloud. It is suitable for government, education, finance, medical, telecom and other industries and for all types of offices, including branches, call centers and mobile office situations. A cloud solution for big data is an end-to-end solution covering hardware, software, network, terminal, security, consulting and design services. Cloud servers are composed of a cloud OS and virtualized platforms. Through centralized managing and sharing of computing and storage resources, the cloud platform helps customers solve the problems of traditional clusters and allows them to enhance information security, improve O&M efficiency and create a truly mobile office while improving service reliability. Cloud hardware integrates computing, storage and network. The computing devices usually include a multi-core CPU, a GPU, an FPGA and other multiprocessing facilities. Smart storage engines, intelligent networks, SSD caching mechanisms and other innovations work together to achieve high performance. Systems are designed as pre-validated infrastructure under unified physical and virtual resource management. Big data analytics on a cloud are expanding rapidly in terms of the increase in the workload and variety of businesses on a cloud. For example, some of the big data workloads have more branch operations, some are data-movement-dominated-computing, and some have larger instruction footprints. Typically, Hadoop- and Spark-based big data workloads have higher front end stalls, and complex big data software stacks fail to use state-of-practice processors efficiently. The architectural designs of the cloud services have to meet the performance requirements of the specific business characterizations. Service models developed by analyzing the factors of workload, cost, security and data interoperability are vital to performance. Depending on the usage scenario and the performance requirements, the best use of the cloud platform may be to focus on analytics as a service (AaaS). Cloud service models can help accelerate the potential for scalable big data analytics solutions. Cloud based big data analytics is not a one-size-fits-all solution. Organizations using cloud infrastructure to provide AaaS have multiple options. Businesses with varying needs and budgets determine the strategies to create a service model in cloud environments. Computing power and storage capacity via cloud services for certain analytics initiatives provide added capacity and scale as needed. Based on the service model for a business on a cloud, data localities need to be designed to analyze the data either in a cloud data center or in edge systems and client devices. By focusing on handling the critical configurable design constraints at each level of a cloud platform, optimized big data analytic services can be approached based on the above service-oriented model to achieve the best possible performance. The model allows obtaining design characteristic values in the early design stage, thus benefitting the cloud administrator by providing the necessary workload information for choosing the best computing, storage and network alternatives. The model is embedded in the management system: it allows access to everything, including switches, virtual machines, storage volumes, applications provisioning, automation and security. The model supports the suggestion of flexible compute/storage configurations, scalabilities, configuration/expansion on demand and improvement of storage I/O performances. Working together with the cloud management system, the service-oriented model virtualizes and schedules computing, storage and network resources and provides services such as elastic computing, load balancing and virtual private cloud. Finally, the hardware software synergy to achieve application optimization.

Biography:

Anoud Bani-Hani is an Assistant Professor at the College of Technological Innovation at Zayed University. Dr Bani-Hani received her EngD in Enterprise resource planning system implementation in small to medium enterprises in UK from Loughborough University in UK, where she did an industrial base PhD. Dr Bani-hani primary field of research is ERP and software implementations. She is also holds a degree in Multimedia and internet computing and interested in that field. Prior to working at Zayed University, she worked as an ERP developer in a private company in UK as part of her EngD research and was a lecturer at Jordan University of Science and Technology.

Abstract:

The use of information systems to find efficiencies in the supply chain has long been studied since the late ‘70s with material requirements planning (MRP). Coupled with the growing social responsibility to obtain sustainability, this paper explores the use of mobile technologies as a tool to increase efficiencies in the supply chain, particularly in logistics. By leveraging real-time and contextual information about its logistics, businesses can make strategic decisions that lead to efficiencies and sustainability regarding transporting inventory. In particular, it investigates how to manage inventory replenishment while considering the time, capacity and routing of delivery trucks in a vendor managed inventory (VMI) scenario. Furthermore, It looks at the use of sensors, global positioning systems, and other telecommunication technologies to determine whether it is optimal to fulfill the inventory in a particular location. It demonstrates that the ability to make real-time decisions by analyzing contextual data about inventory availability not only contributes to efficient logistics but also solves the sustainability issues such as carbon emissions and reduction of fuel consumption. Future work can look into the adoption of alternative models to maximize the routing of delivery trucks in conjunction with existing forecasting models, and the creation of policy recommendations to be adopted by businesses.

Biography:

Dr. Muhammad Anan is the Vice Dean of Academics and Student Affairs and an Associate Professor of Software Engineering at Alfaisal University, Saudi Arabia. He received his Ph.D. degree in Computer Engineering and Telecommunications Networking from the University of Missouri-Kansas City, USA, in 2008. He obtained a M.S. degree in Electrical and Computer Engineering from the University of Missouri-Columbia, USA, and a M.S. degree in Software Engineering from Kansas University, USA, in 1999 and 2003, respectively. Dr. Anan obtained his B.S. degree in Computer Engineering form King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 1997. He has over ten years of industrial experience working for two of the Fortune 500 US companies, namely Sprint and IBM, in the fields of telecommunications and Software Engineering. Also, he taught at Purdue University Calumet, USA, for six years before joining Alfaisal University. He was promoted to Associate Professor at Purdue University Calumet in April 2014. Dr. Anan’s main research and teaching interests are in the areas of computer networks, cloud computing, Internet of Things, software defined networking, future Internet architectures, wireless sensor networks, embedded systems, computer architecture, software engineering and visualization. Dr. Anan is currently serving on the editorial board for Wiley Journal of Wireless Communications & Mobile Computing. He is a member of the IEEE and has served as a technical program committee member and a reviewer of many international conferences and journals.

Abstract:

The shortcomings of today’s Internet and the high demand for complex and sophisticated applications and services drive a very interesting and novel research area called Future Internet. The area of Future Internet research focuses on developing a new network with similar magnitude as today’s Internet but with more demanding and complex design goals and specifications. It strives to solve the issues identified in today’s Internet, by capitalizing on the advantages of emerging new technologies in the area of computer networking such as Software Defined Networking (SDN). In recent years SDN has emerged as an exciting area of research which is challenging the current networking paradigm of designing and managing computer networks. SDN represents an extraordinary opportunity to rethink computer networks, enabling the design and deployment of a future Internet. SDN has the potential to revolutionize not only the way networks are built but can lead to emergence of new applications that were not previously possible. The goal of this talk is to introduce students, researchers, and industry practitioners to the SDN based technologies, describe some research initiatives and discuss how the research community can use them to shape the future Internet. The speaker will be sharing with the audience his experience in developing SDN-based research and applications. Some of these applications will be shared with the audience to demonstrate the capabilities of the technologies discussed throughout the talk.

Biography:

Gemma Morral Adell has completed her Master Degree and her PhD at the age of 28 years from Télécom. She is the Associate Professor at Narvik Faculty of UiT The Arctic University of Norway since just after her PhD in December 2014. As a junier researcher, she has published more than 9 papers in reputed conferences and has published 2 journal papers well known in the field of Signal Processing. At same time, she has been serving as peer reviewer for several journals and conferences of repute.

Abstract:

The paper presents a technique for identifying the ownership of new-born reindeer calves using wireless sensor networks (WSNs) based on distributed signal procesing techniques. Reindeer are semi wild animals that give birth while living in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is difficult to identify the ownership of the calves within a mixed herd. Currently, identification is performed in the traditional way which is stressful on both animals and herders and quite costly and time consuming. Among the various existing WSN technologies, a special focus is paid to RFID tags subsequently used with RSSI-based localization algorithm. The reindeer herd is gathered in a large pen where tagging and identification is performed. In such an indoor context, considering a low cost ranging technique and an efficient distributed signal processing approach provide an estimation of reindeer calve positions. Since ownership idetification is the dominant factor compared to accuracy, other sophisticated techniques based on more expensive equipment such GPS are avoided. With this aim, each sensor node carried by each animal seeks to estimate its local map (i.e., its own position and that of the sensor nodes in its neighborhood) by collecting noisy measurements of the received signal strength indicator (RSSI) from packets sent by its neighbors. We propose a two-phase algorithm that is implemented as follows. At first, the initial estimated nodes’ positions are obtained from the biased-maximum likelihood estimator (B-MLE). Secondly, the estimated positions are refined by using an on-line distributed stochastic approximation algorithm (DSA).

Biography:

Gemma Morral Adell has completed her Master Degree and her PhD at the age of 28 years from Télécom. She is the Associate Professor at Narvik Faculty of UiT The Arctic University of Norway since just after her PhD in December 2014. As a junier researcher, she has published more than 9 papers in reputed conferences and has published 2 journal papers well known in the field of Signal Processing. At same time, she has been serving as peer reviewer for several journals and conferences of repute.

Abstract:

The present work explore device-to-device (D2D/M2M) systems without the use of base transceiver stations (BTS) to perform communications and data processing over any type of connected device such smartphones or tablets. This may especially benefit low demographical dense countries such as Norway where small towns and isolated houses are spread and separated by long distances and also benefit non-terrestrial services such ship communications. When addressing communications related to emergency or health-care services, short, quick and simple data processing are the main design parameters to take into account. Until now, satellite networks provide most of the telecommunications services following a classical architecture using satellites in geostationary orbits (GEO) due to their continuous visibility. However, one of the main drawbacks is the low latency the information takes to be transmitted between users. Hence, this can affect negatively communications related to emergency and search&rescue services where time may be a decisive factor, especially in low-demographic areas. To reduce this delay time, satellites in low earth orbits (LEO) have higher latency at expenses of the visibility, which is solved by placing a network of several satellites at the same orbit. Besides, the use of Globalstar/Iridium networks implies buying new equipment, e.g. a satellite mobile phone device and paying higher data rates compared to the wide range of lower prices for regular smartphones that are more usually used. The D2D network architecture is described as follows: Cubesats work as networking stations transparent for the ground segment and any other smart devices connected through the way between the source user and the destination work as routing device forwarding/broadcasting the information. Yet, once an isolated user needs emergency services, that may not be close to the surrounding area, an alert signal is emitted and broadcasted through the device-to-device ground network. The ground segment is mainly coordinated from the space segment by Cubesats located in LEO. The use of Cubesat in LEO may provide faster response to emergency services, lower complexity to build Cubesat systems and lower cost to put Cubesat platforms in orbit.

Biography:

Mohammed M. Alani is the Head of Information Technology Department in Al Khawarizmi International College, Abu Dhabi, UAE. He has two published books in the field of networking along with many papers in international journals and conferences. He is the creator of Routergeek.net and Certifications.Reviews. He has served as a reviewer and technical committee member in many international journals and conferences.

Abstract:

Mobile Ad hoc Networks are being adopted in more and more applications in our daily life. Mobile computing and mobile ad hoc networks in particular have become a daily need. As mobile ad hoc networks have been target for many attacks, the security of these networks has become an essential part of their existence. In this keynote speech, we will focus on security challenges facing Mobile Adhoc Networks in their various applications. The presentation discusses a wide range of threats to Mobile Adhoc Networks starting from threats to availability, eavesdropping, routing security threats, along with other topics. The presentation also discusses the most common attacks on Mobile adhoc networks. Common attacks like black hole, worm hole and byzantine attacks will be discussed. The presentation also discusses newer attacks like denial of service and grey hole attacks. The presentations end with a set of security recommendations to protect Mobile Adhoc Networks.

Biography:

Dr. Sofiane Ouni received his Long cycle Engineer's degrees (Ingenieros), Master degree and Ph.D. in Computer Science from Ecole Nationale des Sciences de l'Informatique (ENSI) of Tunisia, Manouba university, at the Cristal Laboratory and in collaboration with REFLECS Research team, CRI Paris – Rocquencourt, France in 2004. He obtained the Habilitation degree to have the ability to supervise researches (HDR: "Habilitation à Diriger des Recherches") in 2013. He is an Associate Professor at INSAT of Tunisia and actually working at University of King Abdelaziz (KAU) in Jeddah. He participated in several research projects. He made more than thirty publications in journals, books and conferences.

Abstract:

The wireless sensor networks (WSN) are projected to increase in next year’s. More and more distributed embedded applications need WSN as a communication infrastructure. As a new generation and specific applications, we are interested in Real-Time ones which include fire monitoring, border surveillance, medical care, highway traffic coordination, industrial applications, etc. This kind of applications are faced to tow major constraints mainly the Real-Time constraints related to communication delay deadlines and the energy saving related to the wireless sensor communication optimization. This problem of real-time WSN is treated differently if we consider a new designed system or if we use existing devices technology and standards. In the first case new sensor technologies are proposed for Real-time WSN. So, we made a review of MAC and routing protocols related to Real Time dealing with communication synchronization, clustering, sleeping time, network auto-organization and data gathering. We present a global approach and protocols which organizes the network on cluster tree that meets the real time constraints. This approach is applied for periodic sensing and also extended for event sensing like the fire detection in forest environment. In the second case, we are interested to extend existing standard like IEEE 802.15.4/Zigbee to handle real-time issues. It is to upgrade the standards to be efficient faced to communication delay and energy optimization. The main contributions are related to the dynamic auto-organization of the IEEE 802.15.4/zigbee network using communication load balancing strategy and path optimization. That is in the objective of delay optimization for real-time constraint satisfaction and energy conception sharing for energy constraints for a long network lifetime.

Biography:

Dr. R. Sukanesh has completed her PhD in 1999 from Madurai Kamaraj University, India. She is currently working as a professor in Thiagarajar College of Engineering, Madurai, a well reputed college in Tamilnadu. She has published more than 60 research papers in reputed journals. Her research area includes medical electronics, wireless sensor networks and network security. M. Sudarshan is currently persuing B.E degree in Electronics and Communication Engineering. His research are includes Biomedical signal prosessing and MIMO OFDM techniques.

Abstract:

The instant delivery of healthcare services and sharing of medical knowledge over the wireless channel forms the basic foundation in wireless telemedicine applications. The main components of telemedicine infrastructure are terminal devices to capture biomedical signals, telecommunication systems, communication networks, remote diagnosis and proper display. The use of mobile communication gives rise to m-health services which reduces infrastructure costs and providing health care at home, rural health centres, ships, trains and airplanes. Mostly, unlicensed ISM bands are used for transmitting the medical information. With advancements in technology and increasing number of wireless devices the ISM bands and other dedicated bands like military bands and emergency communication bands are becoming increasingly crowded every day. In such scenario, recent studies shows that wide range of licensed radio spectrum are underutilized most of the time. Hence there is a need to opportunistically use those underutilized spectrum which gives rise to a promising solution called Cognitive Radio. The main challenge in implementing cognitive radio is that it should be aware of the presence and absence of a licensed user so that it can opportunistically use the licensed spectrum without interfering licensed users. We are mainly focusing on implementation of an Orthogonal Frequency Division Multiplexing based Cognitive Radio (OFDMCR) transceiver which reliably transmits and receives the biomedical signals with considerable interference rejection. The primary advantage of OFDM over single carrier schemes is its ability to cope with severe channel conditions without complex equalization filters. This proposed mechanism also facilitates the design of single frequency networks (SFNs), where several adjacent transmitters send the same signal simultaneously at the same frequency may be combined constructively. Also we proposed an improved partial transmit sequence scheme for reducing the PAPR in ECG signals for better improvement in interference cancellation.

Biography:

Yesica Imelda Saavedra Benitez received a B.Sc. degree in Computer Engineering from the Institute of Technology of Toluca, Mexico in 1997. She received her PhD degree from the University of Versailles, France in 2013. She is now a full professor at The Institute of Technology of Toluca. Dr. Saavedra’s research interests are in the area of wireless ad hoc and sensor networks, Broadband Wireless Networks, multi-service bandwidth management in WLAN (IEEE 802.11), security in wireless networks in general and wireless sensor and ad hoc networks in particular. She has supervised and co-supervised several graduate students in these areas. She is Director of the Research laboratory at the Institute of Technology of Toluca.

Abstract:

Wireless Mesh Networks (WMNs) are one of the key technologies which will dominate wireless networking in the next few years. The main characteristics of WMNs permit simple, low-cost network connectivity anytime anywhere. Their capability for self-organization significantly reduces the complexity of network deployment. The focus of this presentation provides some major research contributions that enable security applications to protect the routing protocol in Wireless Mesh Network. When Wireless Mesh networks are used in sensitive applications, there must be robust security protocols that ensure secure operation. The goals of security protocols should be to ensure the confidentiality, integrity and authenticity of network traffic, and to preserve the availability of communications. Attacks intended to compromise routing integrity are a significant threat and can lead to a network-wide loss of availability.

Biography:

Dr.M.Suganthi has completed her PhD in 2000 from Kamaraj University, India. She is currently working as Professor in Thiagarajar College of Engineering, Madurai, a well reputed college in Tamilnadu. She has published more than 25 papers in reputed journals. Her reserach areas are wireless communication technologies, cognitive radio networks, sensor networks and MIMO technologies. Chitra Sudhakaran is currently persuing PhD in cognitive wireless networks in Thiagarajar College of Engineering, Madurai. She has completed her Post Graduation in Applied Electronics in 2014. Her research area includes cognitive radio networks and sensor networks.

Abstract:

Evolution of digital wireless communication systems from the analog systems and the introduction of cellular systems brought valuable opportunities to millions of users around the world. However, during events like earthquakes, tsunamis and floods all kinds of wireless devices might be ceased through serious spectrum and traffic jam due to the collapse of network infrastructures. Even the emergency calling services would be interrupted due to its dependency on network infrastructure and congestion due to capacity limit. Thus, the public safety (PS) responders are not able to reach the affected victims in such extreme cases. So there is a need for a reconfigurable and intelligent emergency communication system to detect and locate survivor communications or to maintain reliable communication between various public safety organizations. Here, we envision the usage of cognitive radio for emergency communication in disaster scenarios to re-establish the connectivity among isolated devices. Cognitive radios are fully programmable wireless devices that can sense their environment and dynamically adapt their transmission waveform, channel access method and networking protocols. The major spectrum management functionalities are spectrum sensing, spectrum decision, spectrum sharing and spectrum mobility. Spectrum mobility can alert the spectrum sensing function on detected changes in the environment . These spectrum sensing functions supports the flexibility needed in disaster management. The enabling technologies of self-organizing wireless systems includes Mobile Adhoc Networks (MANETs) , emergency networks with dynamic spectrum reconfiguration capabilities (Cognitive Radio) and emergency networks with autonomous mobility (Vehicular Networks) . In the proposed system, we introduce a relay assisted dual core cognitive radio vehicles in which hybrid sensing technique is used. The main objective for choosing vehicles in such scenario is that the localized radio on these vehicles does not require infrastructural changes at the public handsets. In dual core cognitive radio which acts as a relay, one core is dedicated to interference based sensing in underlay network which constantly senses the nearby primary channel. The other one is a decision making core, in which it cooperatively senses the spectrum with its neighboring CRV’s when there occurs spectrum mobility. Two scenarios are investigated i.e. Victim to victim and victim to personnel communication and identified the criteria which is to be solved for the real time implementation of the system. An interference alignment based technique is proposed for accessing the spectrum database by CRVs to enable the location estimation of the victims.

Biography:

Mohamed ElFouly is a member of Solution Architect team for IT demand management for EBU(Entrprise Business Unit) and FO(Field Business Unit) business unit at STC , with 12+ years of experiance .Responsible for interfacing with marketing and sales teams getting their requirements doing the required assessment and analysis and provide solution design that fulfill their requirements on the BSS/OSS application (Billing , CRM, Provisioning, Network Inventory, Finical apps and DWH).

Abstract:

VoLTE is an IP multimedia subsystem (IMS)-based voice solution defined by 3rd Generation Partnership Project (3GPP). It inherits traditional voice services and SMS, as well as integrating voice services with a wide variety of FMC service. This approach results in the voice service (control and media planes) being delivered as data flows within the LTE data bearer. This means that there is no dependency on (or ultimately, requirement for) the legacy circuit-switched voice network to be maintained. VoLTE has up to three times more voice and data capacity than 3G UMTS and up to six times more than 2G GSM. Furthermore, it frees up bandwidth because VoLTE’s packetsheaders are smaller than those of unoptimized VoIP/LTE

Biography:

Dr. Hassan Mostafa (S’01, M'11, SM'15) received the B.Sc. and M.A.Sc degrees from Cairo University, Egypt, in 2001 and 2005, respectively, and the P.h.D. degree from University of Waterloo, Canada in 2011. He is currently an Assistant Professor at the Electronics and Communications Department, Cairo University, Cairo, Egypt and also an Adjunct Assistant Professor at the Center for Nano-electronics and Devices (CND) at the American University in Cairo (AUC), Cairo, Egypt. Dr. Mostafa has worked as an NSERC postdoctoral fellow in the Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada. His postdoctoral work includes the design of the next generation FPGA in collaboration with Fujitsu research labs in Japan/USA.

Abstract:

Field-Programmable Gate Arrays (FPGAs) are premanufactured Silicon devices that can be programmed to realize any digital circuit or system. FPGAs exhibit several advantages over Application Specific Integrated Circuit (ASIC) technologies such as standard cells. ASICs are typically fabricated in months and cost millions of dollars. However, FPGAs are programmed/reprogrammed in few seconds and cost hundreds of dollars. The programmability feature of FPGAs comes at the expense of extra area, delay, and power consumption. Typically, FPGAs occupy larger area and dissipate more switching power than ASIC standard cells by factors of 20-30X and 10X, respectively. In addition, FPGAs provide lower performance than ASIC standard cells by a factor of 4X. These drawbacks of FPGAs compared to ASIC standard cells are due to the configurable routing fabric that trades area, power, and performance to achieve the programmability feature. The biggest design question is always whether to use FPGA or ASIC? There are significant opportunities in the next generation FPGA design such as Embedded NoC (Network on Chip) based FPGA, low power FPGA, PDR (Partial Dynamic Reconfiguration) capability, asynchronous FPGA, nano-scale devices integration, PVT and reliability aware FPGA design, and 3D FPGA. The objective of this talk is to survey briefly how distinct design techniques and methods at different abstraction levels (i.e., device, circuit, CAD, and architecture) are impacted by, and successfully responding to, these FPGA design challenges.

Biography:

Dr Annapurna P Patil is a Senior IEEE Member, Member AMC, LMCSI, LMISTE. She is been working as a Professor at M S Ramaiah Institute of Technology, Bangalore- 560054, India since 1998. She has over 22 years of experience as an academician. Dr Patil has also served in various capacities as a member of review committees, session chairs, organizing member in many National and International Conferences in India and abroad. She has published large number of papers in IEEE conferences and reputed journals in the area of wireless networks, cloud computing and related areas of intelligent routing algorithms. She holds a B.E, M.Tech and PhD in Computer Science and Engineering.

Abstract:

A Mobile Ad hoc Network (MANET) is a mobile wireless network composed of several mobile nodes that communicate among themselves without the intervention of any centralized management or existing infrastructure. Hence, these mobile nodes must necessarily be able to co-operate to allow communication between them. MANETs have vast applications in the areas of personal area networking and other common areas. There are also existing and future military networking requirements for robust, IP-compliant data services within mobile wireless communication networks. Routing in MANETs is a particularly challenging task because the topology of the network changes dynamically, the bandwidth of the wireless medium is limited, the medium is shared and it lacks central control or infrastructure in the network. Adaptability is therefore, an important factor in MANETs. Hence the present work has experimented with the Bio-inspired protocols which are inherently adaptive in nature. Motivations to investigate bio-inspired Routing are the following: no topology update is needed and the latency for route determination is zero. AntHocNet is one such protocol which is chosen to conduct the experiments. AntHocNet has been designed after the Ant Colony Optimization framework and its general architecture shares strong similarities with the architectures of typical ACO implementations for network routing. Using a substantial set of simulation experiments in ns-2, we have compared and analyzed the performance of the AntHocNet algorithm with the traditional AODV algorithm. The metrics used for performance evaluation: energy consumption, convergence time, average end to end delay, throughput, overall network Lifetime etc. It is observed that the bio inspired Adaptive Hybrid Routing protocol has outperformed the traditional routing protocol AODV on the different performance evaluation metrics while changing the parameter like density of nodes and pause time.

Biography:

Liza M. Gernal have been working in the Gulf Countries for the past 7 years and her 14 years teaching experience. Liza have written papers in sustainability, talent management, family business, and succession planning. Liza is holding Doctor in Management, Phd in Management, MBA and MPA, BSBA – Management holder.

Abstract:

A growing number of patients search for medical information on the Internet. Understanding how they use the Internet is important, as this might impact their health, patient-practitioner roles, and general health care provision. In this article, we illustrate the motives of online health information seeking in the context of the doctor-patient relationship in Gulf Cooperation Council (GCC).This study aims to explore and describe Arabic health content on the Internet for health professionals as well as patients in Arab countries, evaluates and assesses Arabic health websites according to HON code of conduct, identify the specific needs for capacity building, and understand the Arab health professionals' usage of online health information.

Biography:

Abstract:

In the Electric system the large variation in load demand and reduced fuel consumption and optimal energy management may be regarded as advantages that are still not fully utilized. In this side, the new software and modern control systems can provide new possibilities for improving present control strategies and performance. It is also expected that an improved control system should supply higher level of reliability. The present state of the electric software tools and methods for analyzing combined power systems are isolated and the data is not shared. Integration of transmission electric network is useful to share information, architecture and infrastructure. It makes the awareness of the network elements combined with power information and merge them to achieve high status of integration, to realize dynamic operation. The safe operation in the control automation systems establish on the correct information so the fundamental of the control automation systems includes database, graphic, electric network and communication between remote side and master side to collect all isolate data in one database. The database, include two parts first one is the signal data that come from substation side throw communication media it is the real-time database and the second one is the static database that represents the all electrical network elements. The systems that play majority roles are SCADA for real time and GIS for spatial data .the process for connect electric grid to be in one database and connect to this database from different locations may considered as first step for changing the electric network to be smart. The transmission electric grid have big amount of data from various applications like Supervisory Control and Data Acquisition (SCADA) ,Energy Management System, Asset Management System (ASM), Geographical Information System (GIS); to combine these applications to be in one database. This database integrate the operational process with signals that in SCADA to detect and isolate the outages to minimize outages time. Also Smart transmission grid with these combinations manages loads more effectively and provides significant automation during restoration after an outage event. It also enables more interaction between energy providers and consumers, and therefore decrease cost and increase network performance.

Biography:

Abstract:

M2M is a form of data communication between entities that do not necessarily need human interaction. Potential and emerging use cases of M2M communications are smart power grid, healthcare monitoring, remote security surveillance, tracking and tracing, intelligent transportation system, and many more. Long Term Evolution-Advanced, is envisaged to play a central role in interconnecting machines. Machine type communications have a very different set of requirements than H2H communications because they are mainly characterized by a high device density in a cell, small amounts of payload, machine-originated communications and low traffic volumes per machine. Machine to Machine has become one of the most attractive technologies in the area of wireless networking. One of the key challenges facing LTE-Advanced is the large number of machines initiating random access to LTE-Advance’s base station all at once. In this paper, P-persistent scheme is proposed with backlogged M2M devices which use to control RAN overload in LTE-A network simulate by using MATLAB environment. M2M devices arrivals follow Beta distribution use for calculating the throughput and probabilities of collision, success and idle for M2M devices. The first case when P have a high value and the second case P have low value this results show that in first case the success probability of M2M device is high about 73% within limited number of M2M devices and have lower collision probability but in the other case M2M devices have lower success probability about 26% with high collision probability,

Biography:

Aloizio has Phd degree at Depart- ment of Computer and Eletronic Engineer In- stituto Tecnológico de Aeronáutica (ITA) (2015). PMP Certified. Master of Business Administra- tion (MBA) in Project Management at Fun- dação Getúlio Vargas (FGV) (2008) and Master Degree in Computer Science at Federal Uni- versity of Minas Gerais (2002) and Undergrad- uate in Computer Science at Pontif’cia Uni- versidade Católica de Minas Gerais (1999). Have experience in the area of Computer Engineering, specifically in Distributed Sys- tems, Computer Networks, Algebraic Topology, Telecommunication Networks and Software Engineer, working mainly in the following subjects: space data systems, wireless space data sys-tems, delay and disruption tolerant networks, wireless communication, location-based services, quality of service, wireless data services, Interplanetary Networks, Mobile Computing and wireless sensor networks. Currently, JPL- NASA/Caltech affiliate at interplanetary network team. Also, visitor researcher at University of California Santa Cruz at department of computer engineering.

Abstract:

Scientists and space explorers now are looking for a way to communicate almost instantly beyond Earth. The next phase of the Internet will take us to far reaches of our solar system, and lay the groundwork for a communications system for a manned missions to Mars and planets beyond. If we ever want to find out more about other planets, we will need a better communication system for future space missions. Today, communication in space moves at a snail's pace compared to communication on Earth. Increasingly, network applications must communicate with counterparts across disparate networking environments characterized by significantly different physical and operational constraints than what we find in today's Internet. In general, these environments share a common inability to establish and maintain a low-loss, low-latency, end-to- end communication session. Yet, it is precisely the ability to maintain such a session that is required by most existing Internet-style protocols. We will study the fundamental principles that underlie a delay-tolerant networking (DTN) architecture, that is suitable for the future Interplanetary Internet (as an extreme case) but also for "extreme situation networks" on planet earth (e.g. in developing regions with limited power and telecommunication infrastructure, or, in natural disaster areas).

Biography:

Hassan Moradi has completed his PhD from University of Oklahoma USA in 2001. He has joined Qualcomm Technologies Inc. in 2012 and is serving as a modem optimization engineer. Hassan has served as a member of technical program committee for more than 20 conferences and reviewer for more than 40 conferences and journals. He has published several papers in reputed journals and conferences.

Abstract:

Mobile technology has shown to be aggressive during the last couple of years. The market on mobile devices has grown rapidly while chip and device makers are competing hard to acquire their highest share from the market. The winner is generally the one which provide highest performance with lowest cost. This, ,however, requires lots of efforts. From the technology point of view, although the efforts can be spread in various domains, the goal can be divided into 2 parts: better battery life and higher data rates. For high data rates, it actually involves user higher capacity for the same user experience, better user experience for the same capacity, or both. The 4th generation of mobile technology is about to deliver a peak rate in gigabyte range. This has not been achieved without significant advancements in the design of wireless modems which has been very detailed in some parts. In this presentation, the author will be reviewing recent advancements and critical concepts in which chip and device makers in the industry of mobile communication have taken into account in order to meet specific goals and to exhibit them successful in the market. The presentation will be presented in a form to focus on the design and technology points of view.

Biography:

Rejoy George is a Technical Specialist with SFO Technologies, India. He has worked in product development and systems engineering teams in wireless access technology companies and has experience of over 8 years in wireless industry. Rejoy holds B-Tech degree in Electronics and Communication Engineering from University of Kerala, India and MSc degree in Mobile Communication Systems from University of Surrey, UK. His current research interests include energy efficiency in wireless cellular systems, self-organizing networks, data analytics and machine learning algorithms.

Abstract:

As we step into the next generation of wireless communication technology, a multitude of requirements are laid out to be covered. The current architecture of cellular technology with macro base stations deployed in regular and planned manner will not suffice as the need would be to serve over a million connections per square kilometer. The legacy homogeneous architectures are being replaced with heterogeneous networks. The unplanned deployment of micro base stations is of major concern since it will increase the power requirements and will lead to severe interference levels that can degrade network performance to unacceptable levels. In our research work, we investigate the patterns in different traffic scenarios (office, business, residential) and explore various factors that contribute to energy consumption in network during lean and peak hours. We propose a centralized switching algorithm for micro base stations that enable multiple modes of operation that can automatically switch between inactive and active modes based on the cell load, neighbor’s cell load, automatic neighbor relations and channel occupancy across neighbors. The results of the algorithm (14% energy savings in inactive mode operation) show significant improvement in achieving better system level efficiency in Heterogeneous cellular deployments. In addition to this, our work also investigates the range of exclusion zone to be maintained in order to effectively restrict the interference levels within appropriate limits so as to maximize system throughput. Consideration of the exclusion zone also limits the number of micro base stations thereby contributing to energy efficiency in the cellular network.

Biography:

Sara Al Maeeni is a research associate and a doctoral student in communications engineering in Khalifa University of Science, Technology and Research (KUSTAR). Her doctoral work is investigating non-coherent system in cooperative wireless communications. She received her Bachelor degree in communications engineering from United Arab Emirates University in 2008 and her MSc degree from KUSTAR in 2012. Her most research interests include cooperative communications, OFDM, error correction codes, MIMO communications, vehicle-to-vehicle communications and space-time coding. She received the “Young Emirati Postgraduate Research Students Mobility Award” in 2014 and “Young Emirati Researchers Prize” in 2013 from National Research Foundation (NRF).

Abstract:

Internet of things (IOT) is emerging as the next technology supporting communication among things like machines, animals and human beings. By connecting billions of objects, a communication infrastructure that has low power consumption and low hardware complexity is required. Wireless sensor network is a network consists of large number of sensors that can sense the environment and control physical phenomena. By using WSN with simple, inexpensive and low powered sensors, the IOT can be brought to very small objects. Differential modulation is a simple scheme that eliminates the need of channel state information (CSI) between the connecting objects. The basic idea of differential modulation is based on decoding the information by comparing the phase of a symbol with that of the previous symbol. Due to the absence of channel estimation procedure, the hardware complexity of the receiver is reduced and consequently the power efficiency is increased. The simplicity and efficiency of differential modulation has made it an attractive practical solution, with many standard technologies having adopted it, e.g., IEEE 802.11 and Bluetooth. In this talk, we will review the differential modulation and its potential in various applications. Further we will discuss the recent investigations and analyses on the performance of differential modulation in different communication scenarios and especially in cooperative communication scenario. Also, the effect of different channel fading models and object mobility on differential modulation will be discussed.

Biography:

Mrs. Dr. Cibile K. Kanjirathumkal had obtained her PhD from National Institute of Technology Calicut (NITC), in wireless cooperative relay communication. She is working as Professor in Government Engineering Colleges under directorate of technical education Kerala and is having 25 years of teaching experience. She has published more than 10 papers in reputed journals and conferences and had served as the coordinator for Research & Development activities. Also, she is serving as authorized reviewer for various reputed journals.

Abstract:

Cooperative relay communication systems is perhaps the most significant physical layer architectural upgrade that can assist the wireless network to achieve lower energy consumption with increased data rate. Among the different relaying strategies available, amplify and forward (AF) scheme is preferred due to the reduced delay and processing burden on relays. However, compound fading channel effects and cascaded noise effects due to multiple relaying channels are serious issues to be addressed for efficient deployment of AF systems. Since instantaneous signal strength measurement at relay for deciding required power boosting is infeasible in AF relaying, exact statistical characterization of the constituent channels is critical for an energy efficient system design as the receive signal quality depends on the channel fluctuations. Cost effective solutions to the deployment challenges/ link design of a complete AaF system by exploiting the analytical results of compound channel statistics using some properties of Mellin transform is explored in this topic. The transform approach for the derivation of statistical measures like moments, average SNR and SNR variability are expected to be highly useful in various system design aspects like terrain dependent hop count determination, relay amplification factor design, proximity distance computation and so forth. Moreover, the proposed link-design method using appropriate noise margin and fade margin is suitable to adequately compensate the cascaded channel and noise effects resulting in reduced fading effects.

Biography:

Dr Ari Pouttu was born in Kokkola, Finland in 1966. He has scientific and engineering experience as a researcher, project manager and research manager in fields such as synchronization, interference suppression, coding, and modulation designs in spread spectrum and multicarrier systems. The projects under his command have resulted waveforms and system designs for military radio communication, radar systems, embedded device networks, future wireless radio communications including cellular systems, cognitive networks and navigation applications. He has also been involved with architecture design for Finnish Software Radio including adaptive antennas and related algorithms. He has published more than 40 conference or journal papers in the field of wireless communications and he holds two patents. He was the Director of Centre for Wireless Communications in the University of Oulu from 2006 to 2012. Currently he is heading a research group targeting dependable wireless solutions including solutions for 5G.

Abstract:

The 5th generation (5G) mobile communication systems are expected to revolutionize everything seen so far in wireless systems. The requirements for 5G vary by application but will include data rates ranging from very low sensor data to very high video content delivery, stringent low latency requirements, low energy consumption, and high reliability. All of these technological requirements are expected to be achieved while keeping the same or lower cost than today's technologies. The application scenarios range from usual broadband mobile to machine-to-machine communications, real-time control with low latency and low data rate sensor networks with large number of nodes, to mention a few. There is general consensus that these goals cannot be met with one single technological solution. The next generation standard will contain a wide range of technology components that can be leveraged depending on time, place and needs. It is also quite evident that the next generation standard must be open enough to allow drastically new technologies not even known during the development phase. Depending on the expected time-frame for 5G roll-out, there are very different views on the 5G system concept. The World Radio communication Conference (WRC'15) was quite important in setting the directions towards the next standard. At WRC'15 new agenda items were suggested to the following WRC'19 event where final decisions on frequency allocations for 5G mobile systems will be made, thus highlighting the timeliness of our research agenda. The planned timeline for 5G system standardization (first standard ready around 2019) means that major innovations will be related to novel spectrum sharing schemes, network virtualization, densifications of cells and other new network architectures including M2M and moving networks. Thus, it is quite clear that air-interface will not play a major role in the first phase of 5G, but will become quite critical beyond 2020 once new spectrum allocations towards higher frequency bands have been made. Thus, the key driver in Oulu based 5G test network is to develop new small cell focused operator business models and innovations around the test network. The ultimate target is to actively look for new business potential in building and managing networks, providing content to customers of any operator and demonstrate various spectrum sharing schemes like licensed shared access and co-primary spectrum sharing in small cells networks. In the first phase (2015-2016), the access points will be commercially available small cell products. In the second phase (2016-2017), frequency variants of those will be installed as well as first 5G radio prototypes. Novel air-interface concepts shall be implemented in the third phase (2018-2019) if available. The planned size of the test network is ~100 LTE access points in the beginning. The 5G test network will cover University campus area, most likely select sites in Oulu city centrum (Oulu Ice hockey arena) or possibly a new residential housing area where various smart city concepts will be implemented. The 5G research and test environment (test network) shall be linked to theoretical 5G research and will provide the opportunity to validate theoretical results. It will enable the resolution of potentially opposing views on real life, network-level performance. It will constantly evolve, as research and standardization progress. Hence, technologies will be comprehensively verified before they are standardized and implemented. By 2020, the environment will have evolved into a full-scale 5G network, which will be provided as a living lab for application and service testing. The test network is a joint venture of CWC and companies such as Anite, EB, Eltel Networks, EXFO, Finnish Broadcasting Company (YLE), Haltian, Indalgo, MediaTek, Nokia, Pehutec, Pulse, Sarokal and research institute VTT. Project receives funding from Finnish Funding Agency for Innovation (TEKES) and is endorsed by city of Oulu and Ficora – the national regulatory authority.

Biography:

He received the B.Sc. degree in electrical engineering from Cairo University, Egypt, the M.Sc. degree from Technical University Eindhoven, Netherlands, and the Ph.D. degree from Tohoku University, Japan. He is associate professor of computer engineering at Taibah University, KSA. He is the author of several research papers published in the most reputable journals and conferences. He is the author of the book titled “Optical Networks: A Restoration Perspective with Active”. He is the co-editor of the book titled "Wireless Sensor Multimedia Networks (WSMNs): Architectures, Protocols and Applications" with CRC Press USA, 2015.

Abstract:

IoT (Internet of Things) applications are the real driver of value of IoT. Therefore, an increasing attention is being focused on new applications to end-user, organizations and vendors. Currently, more than 6 billion devices are connected to the Internet. This number is expected to further explode by 2020, where the IoT market will include 20.8 billion things. Therefore, providing new application for the new era of IoT is mandatory. This presentation will shed the light on smart IoT applications for variety fields of life. In particular, 6 main categories of IoT practical applications will be presented. Then sample applications in each category will be discussed in detail. These categories include, Smart Cities (Smart Parking, Smartphone Detection, Traffic Congestion, Smart Roads), Smart Environment (Forest Fire Detection, Pollution, Snow Level Measurement, Earthquake Early Detection), Smart Water (Potable water monitoring, Swimming pool remote measurement, Pollution levels in the sea), Smart Metering ( Smart Grid, Tank level), Smart Security & Emergencies (Liquid Presence, Radiation Levels, Explosive and Hazardous Gases) and finally, Smart Retail (NFC Payment, Intelligent Shopping Applications). This presentation will provide a technical overview of each of the smart application groups and specific technologies including practical samples.

Biography:

SMIRANI LASSAAD was born in Menzel Jemil, Tunisia, in 1969. He received the B.S. degree in electrical and electronics engineering from the Higher school of Engineering in Tunisia ENIT, in 1992, and M.S. degree in telecommunications and computer sciences from the High school of Post and Telecommunications Sup'Com Tunis,Tunisia, in 1994, and DEA in networks from ENIT, in 2003. In 1994 he joined "Tunisie Telecom": the historical telecommunications operator in Tunisia. He held several positions of responsibility as: 1996-1999: Head of technical department 1999-2001: Technical Assistant Director 2001-2005: Network Director at "Tunisie Telecom" In parallel he has held the mission of technology expert at Carthage University, and has taught for 13 years (2000-2013) at the Faculty of Sciences of Bizerte and many other Tunisian University like "ESPRIT". From 2005 to 2011, He was designed as Governor politics, by the President of the Tunisian republic, to be the first engineer in telecommunications in Tunisia, who occupied political post in 2005. And he held the position of Regional Director of the Tunisian Solidarity Union from 2005 to 2011.

Abstract:

This paper proposes an efficient interpolation method for SC-FDMA channel estimation. The proposed method of alternate pilots "Alternated Pilots Method APM", is based on three layers neural network model. APM interpolates channel estimated coefficients for data received symbols from a reduced numbers of transmitted pilot symbols. As we know LTE-A standard had proposed sending one pilot symbol on each frame of data which causes loss of throughput. Moreover, LTE-A assumes that the channel does not vary during frame transmission period. The APM uses only less than a half of pilot symbol used by standard method to achieve channel estimation. The APM increases bit rate and tracks the channel time variation. It allows migration from supervised channel estimation to semi-blind one.

Biography:

He received Master degree in Computer Systems and Networks from the University of Bechar in 2011.Currently he is pursuing his Ph.D. degree in the Department of Electronics from the University of Sciencesand Technology of Oran (USTO, Algeria) and member of LARESI Laboratory (Research in Intelligent Systems Laboratory) from 2011. His main research interest includes wireless sensor networks, their security, routing and management, Intrusion detection. Member of the Editorial Board to the International Journal of Information Security and Privacy (IJISP).

Abstract:

Clustering approaches for mobile wireless sensor networks (WSNs) tend to extend the battery life of the individual sensors and the network lifetime. Taking into account the mobility of the network, a powerful mechanism to safely elect a cluster head is a challenging task in many research works. As a proposed technique to deal with such problem, the approach based on the computing of the weight of each node in the network is chosen. This paper is intended to propose a new algorithm called "S-WCA" for safety of mobile sensor networks based on clustering algorithm using a combination of five metrics. Among these metrics lies the behavioral level metric which promotes a safe choice of a cluster head in the sense where this last one will never be a malicious node. Moreover, a summary of the highlight of our work is provided in a comprehensive strategy for monitoring the network, so as to detect and remove the malicious nodes. Simulation study is used to demonstrate the performance of the proposed algorithm.

Biography:

Shaaban ALI has completed his PhD from Australian Defence force Academy, UNSW@ADFA, Australia. Previously he worked as assistant professor at Mechanical Engineering Department, Assiut University. Currently he is a faculty at Electromechanical Department, Abu Dhabi Polytechnic. His research involved intelligent adaptive control, UAV , identification and control.

Abstract:

This work study the technologies of communication applied in unmanned aerial platforms. An unmanned aerial vehicle (UAV) is an aircraft without a human pilot aboard. The degree of autonomy of UAV varies starting from remote controlled aircraft through fully autonomous aircraft. Currently UAVs can be deployed in several industries where present of man is not required or risky. UAVs not only can be used in military and special operation applications, but also used in a growing number of civilian applications, such as policing and firefighting, and nonmilitary security work, such as inspection of power or pipelines. To functionally deployed UAVs, they need an independent reliable communication subsystem that capable to send and receive data. In this work, the challenges associated with the application of communication system in these platforms will be presented.