Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT

LI Guo-quan; HU Hang; WANG Yue-tao; XIE Zong-lin; LIN Jin-zhao

doi:10.12263/DZXB.20231098

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Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT

PAPERS | 更新时间：2025-12-11

- Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT
- ACTA ELECTRONICA SINICA Vol. 52, Issue 12, Pages: 4002-4008(2024)
- 作者机构：
  
  1.重庆邮电大学通信与信息工程学院，重庆 400065
  2.光电信息感测与微系统重庆市重点实验室，重庆 400065
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U21A20447);Natural Science Foundation of Chongqing(cstc2020jcyj-cxttX0002;CSTB2023NSCQ-LZX0105)
- DOI：10.12263/DZXB.20231098
  CLC： TN92
- Received：24 November 2023，
  
  Revised：2024-08-01，
  
  Published：25 December 2024
- 稿件说明：
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李国权, 胡航, 王玥涛, 等. STAR-RIS辅助的CR-SWIPT系统安全波束成形算法[J]. 电子学报, 2024, 52(12): 4002-4008.

LI Guo-quan, HU Hang, WANG Yue-tao, et al. Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT[J]. Acta Electronica Sinica, 2024, 52(12): 4002-4008.
李国权, 胡航, 王玥涛, 等. STAR-RIS辅助的CR-SWIPT系统安全波束成形算法[J]. 电子学报, 2024, 52(12): 4002-4008. DOI：10.12263/DZXB.20231098

LI Guo-quan, HU Hang, WANG Yue-tao, et al. Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT[J]. Acta Electronica Sinica, 2024, 52(12): 4002-4008. DOI：10.12263/DZXB.20231098

摘要

为解决认知无线电（Cognitive Radio，CR）系统动态开放性带来的信息传输安全问题，本文提出了一种同时透射和反射的可重构智能表面（Simultaneously Transmitting And Reflecting Reconfigurable Intelligent Surface，STAR-RIS）辅助CR系统安全波束成形算法.在考虑认知基站（Cognitive Base Station，CBS）发射功率、次用户（Secondary User，SU）能量收集等约束下，联合优化SU功率分配（Power Splitting，PS）系数等耦合变量，以最大化SU最差保密率.通过连续凸逼近（Successive Convex Approximation，SCA）算法将其转化为凸问题，利用半定松弛（Semi-Definite Relaxation，SDR）等算法求解耦合变量.仿真结果表明，所提出的联合优化算法相较于其他方案具有更高的SU保密率，且引入人工噪声（Artificial Noise，AN）可以进一步提升系统的安全性.

Abstract

To solve the problems of information transmission security caused by the dynamic openness of cognitive radio (CR)

a beamforming optimization algorithm is proposed for STAR-RIS assisted CR system. Considering the constraints such as the transmit power of cognitive base station (CBS) and SU energy harvesting

variables such as SU power splitting (PS) coefficients are jointly optimized to maximize the SU worst secrecy rate. It is transformed into a convex problem by the SCA algorithm

and the coupling variables are solved by the SDR algorithm. The simulation results show that the proposed optimization algorithm has higher SU secrecy rate compared with others

and the introduction of artificial noise (AN) can further improve the security of the system.

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references

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