Paper Info
Title
Joint Video Caching and User Association With Mobile Edge Computing
Abstract
The rapid increasing of mobile video traffic has put heavy burden on mobile networks. Mobile edge computing (MEC) has become a promising paradigm to provide caching, computing and context awareness ability within the radio access network (RAN) so as to cache popular videos and provide multi-bitrate video streaming to users nearby. In this paper, we propose joint user association and cache strategy to maximize the system revenue by combining caching, transcoding and adaptive bitrate streaming (ABR) technology. The backhaul bandwidth saved by caching and transcoding is regarded as the system gains and the system resources (eg., cache resources, transcoding resources) consumed are as cost so as to use limited system resources to bring greater benefits to the system. Finally, the optimization problem is solved by using many-to-many matching algorithm. The experimental results show that the proposed cache scheme has a better performance than other cache schemes.
Year
DOI
Venue
2019
10.1109/WCNCW.2019.8902591
2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)
Keywords
Field
DocType
MEC caching and transcoding,multi-bitrate video,user association,many-to-many matching
Transcoding,Adaptive bitrate streaming,Backhaul (telecommunications),Cache,Computer science,Computer network,Context awareness,Mobile edge computing,Radio access network,Blossom algorithm
Conference
ISSN
ISBN
Citations 
2167-8189
978-1-7281-0923-7
0
PageRank 
References 
Authors
0.34
4
5
Name
Order
Citations
PageRank
Hong Wang1278.24
Ying Wang288.95
Ruijin Sun3278.37
Shan Guo401.69
Honglin Li500.68