4^th International Conference and Business Expo on Wireless, Telecommunication & IoT July 19-20, 2018 at London, UK

Biography:

Gabriele Donà was born in Venice, Italy, in 1975. He received the M.Sc degree in Telecommunication engineering, and the Ph.D. degree in Electrical engineering from University of Padua, Padova, Italy, in 2001 and 2005. In March 2004 he joined TRTech, Edmonton, Canada, as research fellow and worked in the area of channel estimation algorithms for mobile multi-carrier multiple-access wireless systems. From 2006 to 2014 he was a Research Scientist at Thales Research and Technology (UK) Ltd., Reading, UK, conducting research on wireless sensors networks, ultra-wideband radar and positioning systems, for security and defence applications. He joined Thales Alenia Space in 2014 with the role of Tracking, Telemetry and Command (TT&C) Specialist for exploration and scientific mission.

 

 

Abstract:

Every exploration mission has a communications system to receive commands and other information sent from Earth to the spacecraft, and to return scientific data from the spacecraft to Earth. The vast majority of deep space missions never return to Earth. Therefore the only means mission control has to interact with the spacecraft, after launch, is its communications system. In addition, any issue with the spacecraft can only be diagnosed, repaired, or mitigated via the communications system. Without reliable and efficient communications system, a successful mission would be impossible. The speaker will provide an overview of the current state-of-the-art in deep space communications technology, from an industrial perspective, focusing mainly on the spacecraft side and the required radio links performance. Examples of current and future exploration mission scenarios will be used to illustrate the challenges faced by industry to meet the ever increasing mission demands, such as multiple-user access, autonomous system re-configuration, and hardware miniaturization. At the same time the reliability and survivability requirements have to be met in extreme environmental conditions. New technology developments will be presented, including deep space CDMA, flexible and autonomous transponders, advanced channel coding schemes and secure communications.

 

 

Biography:

Mário Marques da Silva is an Associate Professor and the Director of the Department of Sciences and Technologies at Universidade Autónoma de Lisboa. He is also a Researcher at Instituto de Telecomunicações, in Lisbon, Portugal. He has been involved in multiple networking and telecommunications projects. His research interests include networking and mobile communications, namely 5G communications, interference cancellation, MIMO systems, channel estimation, software defined radio, IP technologies and network security. He is the author of five books entitled Multimedia Communications and Networking, Transmission Techniques for Emergent Multicast and Broadcast Systems, Transmission Techniques for 4G Systems, MIMO Processing for 4G and Beyond: Fundamentals and Evolution and Cable and Wireless Networks: Theory & Practice (all from CRC Press). Moreover, he is author of several dozens of journal and conference papers, a member of IEEE and AFCEA, and reviewer for a number of international scientific IEEE journals and conferences. Finally, he has chaired many conference sessions and has been serving in the organizing committee of relevant EURASIP and IEEE conferences.           

 

 

Abstract:

Massive MIMO schemes involving several tens or even hundreds of antenna elements are expected to be central technologies for 5G systems. This can lead array power gain increments proportional to the number of antennas. Pilots can be employed for the purpose of performing channel estimation. Nevertheless, pilot contamination may occur in multi-user scenarios, namely due to co-channel interference, which may compromise estimation, even when orthogonal sequences such as Chu sequences are employed. It is shown that a decision directed scheme based on an iterative block frequency domain equalizer can be used to compensate the pilot contamination impact on channel estimation without sacrificing the complexity. Moreover, when the coherence time spans multiple data blocks, these most accurate channel estimates can be used to precod the subsequent blocks and thereby improve system performance. It is also presented a set of performance results that sustain our assumption.