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arXiv · 2207.04829

Low-complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS

Rongen Dong·Shaohua Jiang·Xinhai Hua·Yin Teng·Feng Shu·Jiangzhou Wang
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Abstract

Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order to create controllable multipath transmission in the conventional line-of-sight (LOS) wireless communication environment, an IRS-aided directional modulation (DM) network is considered. In this paper, to improve the transmission security of the system and maximize the receive power sum (Max-RPS), two alternately optimizing schemes of jointly designing receive beamforming (RBF) vectors and IRS phase shift matrix (PSM) are proposed: Max-RPS using general alternating optimization (Max-RPS-GAO) algorithm and Max-RPS using zero-forcing (Max-RPS-ZF) algorithm. Simulation results show that, compared with the no-IRS-assisted scheme and the no-PSM optimization scheme, the proposed IRS-assisted Max-RPS-GAO method and Max-RPS-ZF method can significantly improve the secrecy rate (SR) performance of the DM system. Moreover, compared with the Max-RPS-GAO method, the proposed Max-RPS-ZF method has a faster convergence speed and a certain lower computational complexity.

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Rongen Dong, Shaohua Jiang, Xinhai Hua, Yin Teng, Feng Shu, Jiangzhou Wang. 2022-07-11. Low-complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS. https://arxiv.org/abs/2207.04829

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