QoE-based Power Efficient LTE Downlink Scheduler

We discussed the role of different parameters in regulating the user’s QoE of HTTP-based adaptive video streaming services. The proposed adaptive BBF method considered the QoS parameters to adapt the video quality. The communication world moves toward an all-IP trend, where all services will be based on IP together with essential features and functions. The current Fourth-Generation (4G) wireless Long-Term Evolution-Advanced (LTE-A) system and future 5G networks will also follow the same all-IP trends. Despite ever-increasing video traffic in the IP world, VoIP is still considered as the main revenue stream for future wireless communication networks. Powerful mobile devices have capabilities to support VoIP service in wireless networks. It is difficult to measure subjectively user’s QoE for in-service speech quality. The 4G standard of LTE-A wireless system has adopted the discontinuous reception (DRX) method to extend and optimize the UE battery life, while there is no standard scheduling method to distribute the radio resources among the UE. This chapter presents a downlink scheduler, i.e. Quality of Experience (QoE) power efficient method (QEPEM) for LTE-A, which efficiently allocates the radio resources and optimizes the use of UE power through the DRX mechanism. The QEPEM uses the E-Model to measure the user’s QoE for in-speech VoIP multimedia traffic at the user side. Later, each user provides feedback of its perceived quality to the evolving NodeB (eNodeB), where the QEPEM downlink scheduler for the LTE-A network decides to allocate the radio resources to the end-user based on distinct parameters (e.g. DRX status and channel quality). This chapter also investigates how the different duration of DRX Light and Deep Sleep cycles influence the QoS and QoE of end-users, using VoIP over the LTE-A. The QEPEM is evaluated with the traditional methods, in terms of System Throughput, Fairness Index, Packet Loss Rate and Packet Delay. Our proposed QEPEM reduces packet delay and packet loss and increases fairness and UE’s power saving with high user satisfaction. This chapter is based on our two journal articles.