Near-Optimal Transmission Optimization of Cache-Based SVC Vehicle Video

2020 
A problem of video streaming of scalable video coding (SVC) is studied in vehicular networks. To improve the performance of the video streaming services and alleviate the pressure on backhaul links, the small cell base stations (SBS) is proposed with caching ability to assist the content delivery. In this paper, it introduced the problem of joint optimization of caching strategy and transmission path in SBS cache cluster. An integer programming problem was formulated to maximize the average quality of experience. In order to obtain the globally optimal solution, the primal problem was first relaxed, then an adaptive algorithm was used based on the joint KKT condition, and the branch definition algorithm was applied. Extensive simulations were performed to demonstrate the efficiency of our proposed caching strategy.
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