MEC-Assisted Flexible Transcoding Strategy for Adaptive Bitrate Video Streaming in Small Cell Networks

作     者：Chunyu Liu Heli Zhang Hong Ji Xi Li Chunyu Liu;Heli Zhang;Hong Ji;Xi Li

作者机构：School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Universal Wireless CommunicationsMinistry of Education(Beijing University of Posts and Telecommunications)Beijing 100876China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2021年第18卷第2期

页      面：200-214页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：This work was supported by National Natural Science Foundation of China(No.61771070) National Natural Science Foundation of China(No.61671088) 

主　　题：mobile edge computing adaptive bi-trate video streaming flexible transcoding strategy ADMM 

摘      要：Adaptive bitrate video streaming(ABR)has become a critical technique for mobile video streaming to cope with time-varying network conditions and different user ***,there are still many problems in achieving high-quality ABR video streaming over cellular *** Edge Computing(MEC)is a promising paradigm to overcome the above problems by providing video transcoding capability and caching the ABR video streaming within the radio access network(RAN).In this paper,we propose a flexible transcoding strategy to provide viewers with low-latency video streaming services in the MEC networks under the limited storage,computing,and spectrum *** to the information collected from users,the MEC server acts as a controlling component to adjust the transcoding strategy flexibly based on optimizing the video caching placement ***,we cache the proper bitrate version of the video segments at the edge servers and select the appropriate bitrate version of the video segments to perform transcoding under jointly considering access control,resource allocation,and user *** formulate this problem as a nonconvex optimization and mixed combinatorial ***,the simulation results indicate that our proposed algorithm can ensure a low-latency viewing experience for users.