Biography
Biography: Hamed Al-Raweshidy
Abstract
The cellular network performance is measured by its spectral and energy efficiency. Remote Radio Heads (RRHs) are usually placed according to a grid model based geometry in the Heterogeneous-Cloud Radio Access Network (H-CRAN). However the placement of their Base Band Unit Pool (BBU pool) is crucial. Evaluating the optimal position of the BBU pool in multi-RRHs multi-user (UE) OFDM resource allocation (RA) is hardly required. Aiming more practical implementation, replacing the traditional grid shaped with Poisson Point Process based RRHs is strongly preferable. The objective is to maximize the system capacity by optimizing the position of the BBU pool. Parameterized power model with evolved assumption further to the State Of The Art (SOTA) power models is required to evaluate the amount of power reduction. The effect of the optimum solution upon users’ capacity and the power consumed is therefore investigable. C-RAN has the ability to dynamically change its BBU to RRH configuration. Self Orginsing Network (SON) features work perfectly with C-RAN i-e the dynamic BBU-RRH mapping ability of C-RAN can be exploited by SON technology in order to achieve better network performance, maximised QoS and minimum power consumption. C-RAN itself is a cost efficient way for deploying dense networks, however, significant power saving can be achieved if combined with SON concepts. For example in an unbalanced Cloud Radio Access Network, a BBU might be underutilised while other BBUs in the BBU pool might have enough space to accommodate its load. An intelligent SON feature can be integrated in C-RAN to offload all the traffic from the underutilised BBU and switching it off for power saving. In addition to power saving, maximum QoS, improved network performance and increased capacity can be achieved in C-RAN through self optimisation. Proper BBU to RRH configuration is realised proactively via SON self- optimisation Features