CLEVER: A Cooperative and Cross-Layer Approach to Video Streaming in HetNets

Abstract

We investigate the problem 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 in detail, we target a cross-layer dynamic allocation of the bandwidth resources available over a set of µeNBs and one MeNB, with the goal of reducing the delay per chunk experienced by users. After optimally formulating the problem of minimizing the chunk delay, we detail the Cross LayEr Video stReaming (CLEVER) algorithm, to practically tackle it. CLEVER makes allocation decisions on the basis of information retrieved from the application layer as well as from lower layers. Results, obtained over two representative case studies, show that CLEVER is able to limit the chunk delay, while also reducing the amount of bandwidth reserved for offloaded users on the MeNB, as well as the number of offloaded users. In addition, we show that CLEVER performs clearly better than two selected reference algorithms, while being very close to a best bound. Finally, we show that our solution is able to achieve high fairness indexes and good levels of Quality of Experience (QoE).

Joint Optimization of Area Throughput and Grid-Connected Microgeneration in UAV-Based Mobile Networks

“…the MC dominate the measurements. Given each measured CQI value c MC (a,t) , we then adopt the CQI-spectral efficiency conversion of [28] to retrieve η(c MC (a,t) ). 5 The resulting values are reported in Tab.…”

“…Consequently, a CQI value higher than the one measured when the area is served by the MC may be observed. Similarly to the MC case, we adopt the values in [28] to compute η(c UAV (a,t) ), which is equal to 3.883 [bps/Hz]. Focusing then on the bandwidth features, the MC currently serving the Torrino-Mezzocammino area exploits the 1800 [MHz] frequency with a 20 [MHz] bandwidth.…”

A Mathematical Model for Cross Layer Protocol Optimizing Performance of Software-Defined Radios in Tactical Networks

“…This methodology gives an edge on already available crosslayer designs presented in literature which are not based on sound mathematical model and are application-specific and work best for solution of a particular problem and hence lacks the element of standardization. Many application-specific cross-layer designs are being proposed, where each focuses on a specific problem, such as video streaming [17], secure transmission, throughput optimization [18], radio power, delay optimizations etc. This raises an important issue that the cross-layer design proposed for one problem may not cater for another as they are not based on mathematical modeling.…”

Enforcing Bitrate-Stability for Adaptive Streaming Traffic in Cellular Networks

“…Several researchers have also explored cross-layer schemes to improve QoE of adaptive video streams. Cross-layer allocation schemes that factor channel quality, video quality requirements, and encoding rate fluctuations of HAS video streams with the goal of minimizing transmission delays experienced by users were proposed in [20,21]. The authors in [22] propose a cross-layer scheme to optimize aggregate utility of clients while maintaining stable video quality.…”