Computing Energy Efficiency Maximization Strategy of Wireless Powered Mobile Edge Computing Systems
[1]LI Taoshen,GONG Jian,ZENG Xuling,et al.Computing Energy Efficiency Maximization Strategy of Wireless Powered Mobile Edge Computing Systems[J].Journal of Zhengzhou University (Engineering Science),2025,46(01):133-142.[doi:10.13705/j.issn.1671-6833.2024.01.014]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
46
Number of periods:
2025 01
Page number:
133-142
Column:
Public date:
2024-12-23
- Title:
- Computing Energy Efficiency Maximization Strategy of Wireless Powered Mobile Edge Computing Systems
- Keywords:
- wireless powered mobile edge computing(MEC) system; non-orthogonal multiple access(NOMA); computing energy efficiency; energy harvesting; resource allocation; computing offload
- CLC:
- TP393TP391TP273
- Abstract:
- In order to solve the computing energy efficiency optimization problem of the wireless powered mobile edge computing(MEC) system, a computing resource allocation strategy of wireless powered MEC system based on non-orthogonal multiple access(NOMA) was proposed, which applied a nonlinear energy harvesting model to mobile devices. By jointly optimizing the calculation frequency, execution time, base station transmission power, equipment transmission power, offloading time and energy collection time of MEC server and mobile equipment, this strategy could fully utilize the available computing resources of mobile devices and MEC servers, improve device throughput and computing bits, and thus maximize system computing energy efficiency. Then the joint optimization problem was transformed into a non-convex fractional programming problem, and an iterative algorithm based on Dinkelbach was designed to obtain the optimal resource allocation scheme. The comparative simulation results showed that the resource allocation strategy could achieve higher computing energy efficiency and better performance gains.
- References:
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Last Update:
2024-12-31