QoE-Orientated Resource Allocation for Wireless VR over Small Cell Networks
Tianyu Lu, Haibo Dai, Baoyun Wang · 2018
For wireless virtual reality (VR) over small cell networks (SCN), the latency between user's dynamic head rotation and the synchronous change in head-mounted display (HMD) influences quality of experience (QoE). In this paper, to assess VR user's QoE, we specify mean opinion score (MOS) as a metric of latency. With the goal of maximizing system-wide MOS, the stochastic game approach is leveraged for investigating resource allocation problem. For problem solution, a distributed multi-agent learning algorithm is proposed, which can converge to a pure-strategy Nash equilibrium (NE). Numerical results demonstrate the excellent performance of our proposed algorithm.