Cooperative Resource Allocation for Computation Offloading in Mobile-Edge Computing Networks

This paper considers a mobile-edge computing (MEC) network with multiple cooperative MEC servers. It is assumed that the MEC server can transfer a fraction of user task to other MEC servers if its computation capacity is insufficient. The problem of cooperative resource allocation for computation of...

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Bibliographic Details
Published in2021 IEEE Wireless Communications and Networking Conference (WCNC) pp. 1 - 6
Main Authors Li, Qun, Shao, Hanqin
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.03.2021
Subjects
Benchmark testing
Conferences
Convex functions
Energy consumption
Resource management
Servers
Simulation
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Summary:This paper considers a mobile-edge computing (MEC) network with multiple cooperative MEC servers. It is assumed that the MEC server can transfer a fraction of user task to other MEC servers if its computation capacity is insufficient. The problem of cooperative resource allocation for computation offloading to minimize the energy consumption of all users under the task latency constraint, user transmission rate constraint and the MEC computation capacity constraint is investigated, and a suboptimal iterative algorithm is proposed based on alternating optimization and convex optimization. It is shown that the proposed algorithm greatly outperforms the algorithm without cooperation and the benchmark algorithm.
ISSN:1558-2612
DOI:10.1109/WCNC49053.2021.9417273