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作 者:Chunyu Liu Heli Zhang Hong Ji Xi Li
机构地区:[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]Key Laboratory of Universal Wireless Communications,Ministry of Education(Beijing University of Posts and Telecommunications),Beijing 100876,China
出 处:《China Communications》2021年第2期200-214,共15页中国通信(英文版)
基 金:This work was supported by National Natural Science Foundation of China(No.61771070);National Natural Science Foundation of China(No.61671088).
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 preferences.However,there are still many problems in achieving high-quality ABR video streaming over cellular networks.Mobile 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 resources.According 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 strategy.Specifically,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 preferences.We formulate this problem as a nonconvex optimization and mixed combinatorial problem.Moreover,the simulation results indicate that our proposed algorithm can ensure a low-latency viewing experience for users.
关 键 词:mobile edge computing adaptive bi-trate video streaming flexible transcoding strategy ADMM
分 类 号:TN929.53[电子电信—通信与信息系统] TN919.8[电子电信—信息与通信工程]
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