Joint Bandwidth, Caching, and Computing Resource Allocation for Mobile VR Delivery in F-RANs
Tian Dang, Mugen Peng, Yaqiong Liu, Chenxi Liu · 2019
The emerging demands of the immersive virtual reality (VR) experience require current and future wireless networks to provide ultra-low end-to-end latency. Against this backdrop, fog radio access networks (F- RANs), which take full advantages of both fog computing and caching technologies, are anticipated as a promising solution for meeting the stringent latency requirement of mobile VR delivery. In this paper, we propose a mobile VR delivery framework, in which certain VR videos and computing tasks are cached at and offloaded to the edge of F-RANs, respectively. In the considered framework, we jointly optimize the bandwidth, caching, and computing resource allocation in order to minimize the average latency. To this end, we first derive the closed-form expression of the average latency. Based on which, we then analytically examine the optimal resource allocation decision. Moreover, through the numerical results, we reveal the non-trivial trade-offs among communication, caching, and computation, showing how the bandwidth, caching, and computing capabilities can have significant impacts on the average latency.