Robust Energy Efficiency Maximization Algorithm for Intelligent Reflecting Surface-aided Wireless Powered-communication Networks

XU Yongjun; GAO Zhengnian; WANG Qianzhu; ZHOU Jihua; HUANG Dong

doi:10.11999/JEIT210714

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2317-2324

XU Yongjun, GAO Zhengnian, WANG Qianzhu, ZHOU Jihua, HUANG Dong. Robust Energy Efficiency Maximization Algorithm for Intelligent Reflecting Surface-aided Wireless Powered-communication Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2317-2324. doi: 10.11999/JEIT210714

Citation:

XU Yongjun, GAO Zhengnian, WANG Qianzhu, ZHOU Jihua, HUANG Dong. Robust Energy Efficiency Maximization Algorithm for Intelligent Reflecting Surface-aided Wireless Powered-communication Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2317-2324. doi: 10.11999/JEIT210714

Citation:

XU Yongjun, GAO Zhengnian, WANG Qianzhu, ZHOU Jihua, HUANG Dong. Robust Energy Efficiency Maximization Algorithm for Intelligent Reflecting Surface-aided Wireless Powered-communication Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2317-2324. doi: 10.11999/JEIT210714

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Robust Energy Efficiency Maximization Algorithm for Intelligent Reflecting Surface-aided Wireless Powered-communication Networks

doi: 10.11999/JEIT210714

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3.
Aerospace New Generation Communications Co., Ltd, Chongqing 401332, China
4.
Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Gui Zhou University, Guiyang 550025, China

Funds: The National Natural Science Foundation of China (61601071, 62071078), The National Key Research and Development Program of China (2019YFC1511300), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Graduate Scientific Research Innovation Project of Chongqing (CYS21292, CYS21294)

Received Date: 2021-07-15
Rev Recd Date: 2021-09-11

Available Online: 2021-09-26

Publish Date: 2022-07-25

Abstract

Abstract

To resolve the effect of channel uncertainties and low energy transfer efficiency caused by obstacles, a robust Energy Efficiency (EE) maximization algorithm for an Intelligent Reflecting Surface (IRS)-assisted Wireless-Powered Communication Network (WOCN) is proposed. Firstly, considering the constraint of the minimum energy harvesting, the constraint of the phase-shift, and the constraint of the minimum throughput, a multi-variable coupling nonlinear resource allocation model that jointly optimizing the energy beamforming, the phase shifts, and the transmission time is established based on the bounded channel uncertainties. Then, the original non-convex problem is transformed into a deterministic convex optimization problem by using the worst-case approach, the variable substitution and S-Procedure methods. At the same time, a robust EE maximization algorithm based on iteration is proposed to solve the problem. The simulation results show that the proposed algorithm has better EE and robustness by comparing it with the existing algorithms.
- Wireless-Powered Communication Networks (WPCN),
- Intelligent Reflecting Surface(IRS),
- Energy Efficiency (EE) maximization,
- Robustness

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References(18)

References

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