Video Caching and Transcoding in Wireless Cellular Networks With Mobile Edge Computing: A Robust Approach

In this correspondence, we jointly optimize the caching decision and radio and computation resource allocation for video service in mobile edge computing (MEC) enabled network to maximize the system revenue. To tolerate the uncertainty in the network traffic and avoid "hard constraint" bas...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2020-08, Vol.69 (8), p.9234-9238
Main Authors: Wang, Chenmeng, Feng, Daquan, Zhang, Shengli, Chen, Qianbin
Format: Article
Language:English
Subjects:
Artificial neural networks
Caching
Cellular communication
Communications traffic
computation offloading
Computer simulation
Edge computing
in-network caching
Mobile computing
Mobile edge computing
Optimization
Resource allocation
Resource management
Robustness
Servers
small cell networks
Streaming media
Transcoding
Wireless networks
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Summary:In this correspondence, we jointly optimize the caching decision and radio and computation resource allocation for video service in mobile edge computing (MEC) enabled network to maximize the system revenue. To tolerate the uncertainty in the network traffic and avoid "hard constraint" based on constant content request rate, we employ robust optimization to obtain optimal caching decisions, and then accordingly allocate the radio and computation resources for video transcoding. Simulation results demonstrate the effectiveness of the proposed scheme.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.2997344