Joint Optimization Scheme for Caching, Transcoding and Bandwidth in 5G Networks with Mobile Edge Computing

Mobile Edge Computing (MEC) and Dynamic Adaptive Streaming over HTTP (DASH) have been considered as two promising technologies in 5G mobile networks. Although some works have been done for MEC and DASH in 5G mobile networks, to the best of our knowledge, these two important issues have traditionally been addressed separately. However, it is necessary to jointly consider these two significant issues to improve the performance of the network and the Quality of Experience of end users. In this paper, we jointly consider MEC and DASH in 5G mobile networks, and propose a joint optimization scheme for caching, transcoding and bandwidth. We first establish a cost model from the perspective of video content provider (VCP), and this cost model consists of caching cost, transcoding cost and bandwidth cost. Our objective is to minimize the total cost of video content provider. Accordingly, we propose a popularity ranking based gradual caching placement algorithm and a cost-efficient transcoding policy, thus optimizing the caching, computing and bandwidth resources and minimizing the total cost. Finally, simulation results show the performance of the proposed scheme.