Secrecy Rate Maximization Algorithm for Intelligent Reflecting Surface Assisted Wireless Energy Transmission

ZHANG Zufan; ZHANG Di

doi:10.11999/JEIT211255

Volume 44 Issue 7

Jul. 2022

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ZHANG Zufan, ZHANG Di. Secrecy Rate Maximization Algorithm for Intelligent Reflecting Surface Assisted Wireless Energy Transmission[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2366-2373. doi: 10.11999/JEIT211255

Citation:

ZHANG Zufan, ZHANG Di. Secrecy Rate Maximization Algorithm for Intelligent Reflecting Surface Assisted Wireless Energy Transmission[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2366-2373. doi: 10.11999/JEIT211255

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Secrecy Rate Maximization Algorithm for Intelligent Reflecting Surface Assisted Wireless Energy Transmission

doi: 10.11999/JEIT211255

ZHANG Zufan,
ZHANG Di^,

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

Funds: The Major Project of Science and Technology Research Program of Chongqing Education Commission of China (KJZD-M201900601)

Received Date: 2021-11-11
Rev Recd Date: 2022-05-23

Available Online: 2022-05-31

Publish Date: 2022-07-25

Abstract

Abstract

To reduce the influence of eavesdropper on the information reception of the legitimate receiver and the amount of useful information received by the eavesdropper, the beam cancellation at the eavesdropper in Wireless Powered Communication Network (WPCN)with Intelligent Reflecting Surface (IRS) is studied in this paper. Firstly, eavesdropping detection is carried out together with energy transmission, IRS chooses whether to adopt anti-eavesdropping mode according to the energy state of legitimate users. Then, under the conditions of eavesdropping, the maximization of system secrecy rate is studied for perfect and imperfect eavesdropping channel respectively. The maximization algorithm is a multi-variable coupling non-convex problem composing of phase shift and power distribution and time distribution, which is solved by methods such as stepwise optimization, variable substitution and S-Lemma. The simulation results show that, compared with the benchmark algorithm, the proposed algorithm improves the security rate. When the number of IRS elements is 80, the security rate is increased by 44%, and when the transmit power is 40 dBm, the security rate is increased by 34%.
- Wireless Power Communication Network (WPCN),
- Intelligent Reflecting Surface (IRS),
- Secrecy rate

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References(20)

References

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