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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 - 2018
ABSTRACT:
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).
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