Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

摘要

Network quality of experience (QoE) metrics are proposed in order to capture the overallperformance of radio resource management (RRM) algorithms in terms of video quality perceived by the endusers. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured whenMax C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is toensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink(DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. Theperformance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarioswith and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can leadto significant and fair QoE enhancements for all the users in the network.