带有SWIPT的irs辅助MIMO认知无线电系统的保密率优化

Vo The Duy, H. H. Kha
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引用次数: 1

摘要

本文研究了一种基于智能反射面(IRS)的安全同步无线信息与功率传输(SWIPT)多输入多输出(MIMO)认知无线电(CR)系统。为了最大限度地提高系统中二次用户的保密率,同时保证能量接收端(ER)的最小收获能量需求和主用户端(pu)的可容忍干扰功率,优化设计了二次发送端(ST)的预编码矩阵、人工噪声(AN)协方差和IRS的相移矩阵。利用不精确块坐标下降(IBCD)方法,找到了实现最大保密率的最优解。通过数值模拟结果,我们研究了不同系统设置下可实现的保密率性能,以深入了解将IRS用于安全CR SWIPT MIMO系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secrecy Rate Optimization for IRS-Aided MIMO Cognitive Radio Systems with SWIPT
This paper investigates a secure simultaneous wireless information and power transfer (SWIPT) multiple-input multiple-output (MIMO) cognitive radio (CR) system with the aid of an intelligent reflecting surface (IRS). To maximize the secrecy rate of the secondary user (SU) in the system while guaranteeing the minimum harvested energy requirement at the energy receiver (ER) and the tolerable interference power at the primary users (PUs), the precoding matrix, the artificial noise (AN) covariance at the secondary transmitter (ST) and the phase shift matrix at the IRS are optimally designed. By exploiting the inexact block coordinate descent (IBCD) method, the optimal solutions are found to achieve the maximum secrecy rate. By numerical simulation results, we investigate the achievable secrecy rate performance for various system settings to give insights into the effectiveness of using the IRS into secure CR SWIPT MIMO systems.
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