Precoding and Beamforming Design for Intelligent Reconfigurable Surface-Aided Hybrid Secure Spatial Modulation
Feng Shu, Lili Yang, Yan Wang, Xuehui Wang, Weiping Shi, Chong Shen,, Jiangzhou Wang

TL;DR
This paper introduces an IRS-assisted hybrid secure spatial modulation system that optimizes beamforming and precoding to enhance secrecy rate, employing novel algorithms and approximations for improved security and efficiency.
Contribution
It proposes a new IRS-aided hybrid secure spatial modulation system with optimized beamforming and precoding, including three IRS beamforming methods and two hybrid precoding algorithms, for enhanced secrecy performance.
Findings
IRS-ADMM and IRS-SDR outperform IRS-BCA in secrecy rate.
IRS-ADMM and IRS-BCA are low-complexity with slight performance loss.
ASR-SCA outperforms COR-GA at high transmit power.
Abstract
Intelligent reflecting surface (IRS) is an emerging technology for wireless communication composed of a large number of low-cost passive devices with reconfigurable parameters, which can reflect signals with a certain phase shift and is capable of building programmable communication environment. In this paper, to avoid the high hardware cost and energy consumption in spatial modulation (SM), an IRS-aided hybrid secure SM (SSM) system with a hybrid precoder is proposed. To improve the security performance, we formulate an optimization problem to maximize the secrecy rate (SR) by jointly optimizing the beamforming at IRS and hybrid precoding at the transmitter. Considering that the SR has no closed form expression, an approximate SR (ASR) expression is derived as the objective function. To improve the SR performance, three IRS beamforming methods, called IRS alternating direction method…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Ocular Disorders and Treatments
