MEC环境下增强ABR视频缓存传输

Enhanced ABR Video Cache Delivery in MEC Environment

提出移动边缘计算环境下增强自适应比特流视频缓存传输方案。首先针对网络效用最大化问题提出基于改进的Kmeans算法对移动用户进行动态分组,解决码率分配子问题;然后将缓存策略和无线资源联合分配归纳为一个多对多匹配问题,同时通过等效带宽,用户可以根据时变信道选择无线链路,灵活地调整实际传输比特率版本。仿真实验结果表明,MECABR方案与其他方案相比,能够同时提高缓存命中率和吞吐量。

In the paper,an enhanced Adaptive Bit Rate(ABR)video cache delivery scheme for MEC environments is proposed.Firstly,it proposes the dynamic grouping of mobile users based on the improved K-means algorithm for network utility maximization to solve the sub-problem of code rate allocation.Then,the cache strategy and wireless resource joint allocation are summarized as a many-to-many matching problem.At the same time,through equivalent bandwidth,users can select wireless links based on time-varying channels and flexibly adjust the actual delivery bit rate version.The simulation results show that the MEC-ABR scheme can improve the cache hit ratio and throughput from caching at the same time.