Journal
IEEE COMMUNICATIONS LETTERS
Volume 24, Issue 1, Pages 159-163Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2019.2950013
Keywords
Mobile edge computing; computation efficiency; resource allocation; orthogonal frequency division multiple access
Categories
Funding
- National Natural Science Foundation of China [61661028, 61701214]
- Intel Corporation
- US National Science Foundation [EARS1547312]
- Graduate Student Innovation and Entrepreneurship Project of Jiangxi Province [YC2018-S069]
- Excellent Youth Foundation of Jiangxi Province [2018ACB21012]
- Postdoctoral Science Foundation of Jiangxi Province [2017KY04]
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Computation-efficient resource allocation strategies are of crucial importance in mobile edge computing networks. However, few works have focused on this issue. In this letter, weighted sum computation efficiency (CE) maximization problems are formulated in a mobile edge computing (MEC) network with orthogonal frequency division multiple access (OFDMA). Both partial offloading mode and binary offloading mode are considered. The closed-form expressions for the optimal subchannel and power allocation schemes are derived. In order to address the intractable non-convex weighted sum-of ratio problems, an efficiently iterative algorithm is proposed. Simulation results demonstrate that the CE achieved by our proposed resource allocation scheme is better than that obtained by the benchmark schemes.
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