Yang Shaochuan, Huang Kaizhi, Niu Hehao, Wang Yi, Chu Zheng
Wireless Communication Technology Office, Information Engineering University, Zhengzhou 450001, China.
School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China.
Entropy (Basel). 2023 Jul 24;25(7):1102. doi: 10.3390/e25071102.
In this work, we investigate a novel intelligent surface-assisted multiuser multiple-input single-output multiple-eavesdropper (MU-MISOME) secure communication network where an intelligent reflecting surface (IRS) is deployed to enhance the secrecy performance and an intelligent transmission surface (ITS)-based transmitter is utilized to perform energy-efficient beamforming. A weighted sum secrecy rate (WSSR) maximization problem is developed by jointly optimizing transmit power allocation, ITS beamforming, and IRS phase shift. To solve this problem, we transform the objective function into an approximated concave form by using the successive convex approximation (SCA) technique. Then, we propose an efficient alternating optimization (AO) algorithm to solve the reformulated problem in an iterative way, where Karush-Kuhn-Tucker (KKT) conditions, the alternating direction method of the multiplier (ADMM), and majorization-minimization (MM) methods are adopted to derive the closed-form solution for each subproblem. Finally, simulation results are given to verify the convergence and secrecy performance of the proposed schemes.
在这项工作中，我们研究了一种新型的智能表面辅助多用户多输入单输出多窃听者（MU-MISOME）安全通信网络，其中部署了一个智能反射面（IRS）以提高保密性能，并利用基于智能传输面（ITS）的发射机来执行节能波束成形。通过联合优化发射功率分配、ITS波束成形和IRS相移，建立了加权和保密率（WSSR）最大化问题。为了解决这个问题，我们使用逐次凸逼近（SCA）技术将目标函数转化为近似凹形式。然后，我们提出了一种高效的交替优化（AO）算法，以迭代方式解决重新制定的问题，其中采用Karush-Kuhn-Tucker（KKT）条件、乘子交替方向法（ADMM）和主元最小化（MM）方法来推导每个子问题的闭式解。最后，给出仿真结果以验证所提方案的收敛性和保密性能。
