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Robust Beamforming Design for IRS-Aided Secure SWIPT Terahertz Systems With Non-Linear EH Model

Authors
Zhu, ZhengyuXu, JinleiSun, GangcanHao, WanmingChu, ZhengPan, CunhuaLee, Inkyu
Issue Date
4월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Artificial intelligence; Array signal processing; Wireless communication; Receiving antennas; Signal to noise ratio; Communication system security; Transforms; Intelligent reflecting surface; SWIPT; terahertz; secure communication; robust beamforming
Citation
IEEE WIRELESS COMMUNICATIONS LETTERS, v.11, no.4, pp.746 - 750
Indexed
SCIE
SCOPUS
Journal Title
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume
11
Number
4
Start Page
746
End Page
750
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/140425
DOI
10.1109/LWC.2022.3142098
ISSN
2162-2337
Abstract
In this letter, we study intelligent reflecting surface (IRS) aided simultaneous wireless information and power transfer (SWIPT) terahertz secure systems under a non-linear energy harvesting (EH) model. Assuming that the cascaded channel state information is imperfect, we propose a robust beamforming design to minimize the total transmit power by jointly optimizing the transmit beamforming and phase shifts of IRS subject to the outage rate probability constraints. We first transform the outage constraints into deterministic forms by using the Bernstein-type inequality. Then, we applying semidefinite programming to change the original non-convex problem into an equivalent convex problem, and develope an alternate iterative optimization algorithm to obtain a feasible solution of the original problem. Finally, simulation results validate the effectiveness of our proposed scheme.
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