Energy Consumption Optimization Algorithm for Full-Duplex Relay-Assisted Mobile Edge Computing Systems

Yongjun XU; Bowen GU; Hao XIE; Qianbin CHEN

doi:10.11999/JEIT200937

Volume 43 Issue 12

Dec. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(12): 3621-3628

Yongjun XU, Bowen GU, Hao XIE, Qianbin CHEN. Energy Consumption Optimization Algorithm for Full-Duplex Relay-Assisted Mobile Edge Computing Systems[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3621-3628. doi: 10.11999/JEIT200937

Citation:

Yongjun XU, Bowen GU, Hao XIE, Qianbin CHEN. Energy Consumption Optimization Algorithm for Full-Duplex Relay-Assisted Mobile Edge Computing Systems[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3621-3628. doi: 10.11999/JEIT200937

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Energy Consumption Optimization Algorithm for Full-Duplex Relay-Assisted Mobile Edge Computing Systems

doi: 10.11999/JEIT200937

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61601071), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Graduate ScientifiC Research Innovation Project of Chongqing (CYS20251, CYS20253)

Received Date: 2020-11-02
Accepted Date: 2021-11-05
Rev Recd Date: 2021-09-23

Available Online: 2021-11-09

Publish Date: 2021-12-21

Abstract

Abstract

In order to alleviate the pressure of terminal devices to deal with the big-data and low-delay services, a resource allocation algorithm is studied for mobile edge computing networks with full-duplex relays. Firstly, the constraints of the maximum task latency, the maximum computing ability of users, and the maximum transmit power of users and relays are considered for achieving total energy consumption minimization by jointly optimizing the relay selection and subcarrier allocation factor, user task offloading coefficient, and the transmission power of users and relays. Secondly, based on the alternating iteration method and the variable-substitution approach, the originally non-convex problem is decomposed into two convex subproblems, which are solved by using the interior-point method and Lagrange dual theory, respectively. Simulation results show that the proposed algorithm has low energy consumption.
- Full-duplex based relays,
- Mobile edge computing,
- Resource allocation

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References(20)

References

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