Irregular IRS-aided SWIPT secure communication system with imperfect CSI^☆

Abstract

The performance of traditional regular Intelligent Reflecting Surface (IRS) improves as the number of IRS elements increases, but more reflecting elements lead to higher IRS power consumption and greater overhead of channel estimation. The Irregular Intelligent Reflecting Surface (IIRS) can enhance the performance of the IRS as well as boost the system performance when the number of reflecting elements is limited. However, due to the lack of radio frequency chain in IRS, it is challenging for the Base Station (BS) to gather perfect Channel State Information (CSI), especially in the presence of Eavesdroppers (Eves). Therefore, in this paper we investigate the minimum transmit power problem of IIRS-aided Simultaneous Wireless Information and Power Transfer (SWIPT) secure communication system with imperfect CSI of BS-IIRS-Eves links, which is subject to the rate outage probability constraints of the Eves, the minimum rate constraints of the Information Receivers (IRs), the energy harvesting constraints of the Energy Receivers (ERs), and the topology matrix constraints. Afterward, the formulated non-convex problem can be efficiently tackled by employing joint optimization algorithm combined with successive refinement method and adaptive topology design method. Simulation results demonstrate the effectiveness of the proposed scheme and the superiority of IIRS.

Keywords

Irregular intelligent reflecting surface / Simultaneous wireless information and power transfer / Secure communication / Topology optimization

CRediT authorship contribution statement

Chunlong He: Funding acquisition. Guanhai Lin: Writing - original draft, Methodology, Formal analysis. Chiya Zhang: Writing - review & editing. Xingquan Li: Writing - review & editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported in part by the Shenzhen Basic Research Program under Grant JCYJ20220531103008018, and Grants 20231120142345001 and 20231127144045001, and the Natural Science Foundation of China under Grant U20A20156.

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