STAR-RIS辅助的CR-SWIPT系统安全波束成形算法
Secure Beamforming Algorithm for STAR-RIS Assisted Cognitive Radio Systems with SWIPT
- 电子学报 2024年52卷第12期 页码：4002-4008
- 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：
[ "李国权 男，1980年生，河南方城人.重庆邮电大学教授、博士生导师.主要研究方向为无线资源管理、智能反射面优化等.E-mail: ligq@cqupt.edu.cn" ]
[ "胡 航 男，1997年生，重庆人.重庆邮电大学硕士研究生.主要研究方向为智能反射面优化.E-mail: s220101047@stu.cqupt.edu.cn" ]
- 基金信息：国家自然科学基金(U21A20447);重庆市自然科学基金(cstc2020jcyj-cxttX0002;CSTB2023NSCQ-LZX0105)
DOI：10.12263/DZXB.20231098
中图分类号： TN92收稿：2023-11-24，
修回：2024-08-01，
纸质出版：2024-12-25
- 稿件说明：
移动端阅览
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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Keywords
references
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