CLEVER: A Cooperative and Cross-Layer Approach to Video Streaming in HetNets - 2018 PROJECT TITLE :CLEVER: A Cooperative and Cross-Layer Approach to Video Streaming in HetNets - 2018ABSTRACT:We tend to investigate the matter of providing a video streaming service to mobile users in an heterogeneous cellular network composed of micro e-NodeBs (µeNBs) and macro e-NodeBs (MeNBs). More well, we tend to target a cross-layer dynamic allocation of the bandwidth resources on the market over a set of µeNBs and one MeNB, with the goal of reducing the delay per chunk experienced by users. After formulating the optimal problem of minimizing the chunk delay, we detail the Cross LayEr Video stReaming (CLEVER) algorithm, to practically tackle it. CLEVER makes allocation choices on the premise of data retrieved from the application layer furthermore from lower layers. Results, obtained over 2 representative case studies, show that CLEVER is able to limit the chunk delay, while additionally reducing the number of bandwidth reserved for offloaded users on the MeNB, and the quantity of offloaded users. Also, we have a tendency to show that CLEVER performs clearly higher than two selected reference algorithms, whereas being very close to a best bound. Finally, we tend to show that our resolution is ready to attain high fairness indexes and smart levels of Quality of Experience (QoE). Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion - 2018 Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization - 2018