Joint resource allocation of IRS-aided massive MIMO system with Quantum Water Strider Algorithm

IF 3 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Aeu-International Journal of Electronics and Communications Pub Date : 2025-02-08 DOI:10.1016/j.aeue.2025.155708

Wen Cui , Lin Zhao , Jianhua Cheng , Hongyuan Gao

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引用次数: 0

Abstract

Leveraging the characteristics of intelligent reflecting surface (IRS), the data transmission rate and channel capacity of massive MIMO system are significantly improved. In this paper, a model of IRS-aided massive MIMO communication system containing a number of base station antennas, receiving terminal antennas, and an intelligent reflecting surface containing a number of passive reflecting elements is established. For IRS-aided massive MIMO system, in order to resolve channel capacity optimization problem which is a non-convex optimization problem and is difficult to effectively obtain an exact solution, we propose a novel algorithm which is called quantum-inspired water strider algorithm (QWSA). A novel quantum swarm intelligence mechanism derived from quantum theory of computation has been newly designed in this algorithm, namely the quantum water strider adjusts its quantum position not only according to global best of population but also according to the main idea of the quantum water striders within the same group. In IRS-aided massive MIMO system, through joint resource allocation of reflection matrix and transmit covariance matrix, QWSA is applied to solve the optimization problem of channel capacity. Through simulation experiments for the engineering application problem, it is verified that the algorithm significantly improves channel capacity of IRS-aided massive MIMO system.

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基于量子水黾算法的irs辅助大规模MIMO系统联合资源分配

利用智能反射面（IRS）的特性，可以显著提高大规模MIMO系统的数据传输速率和信道容量。本文建立了包含多个基站天线、接收终端天线和包含多个无源反射元件的智能反射面的irs辅助大规模MIMO通信系统模型。对于irs辅助的大规模MIMO系统，为了解决信道容量优化问题这一难以有效求得精确解的非凸优化问题，提出了一种新的算法——量子启发水跨算法（quantum-inspired water strider algorithm， QWSA）。该算法从量子计算理论出发，设计了一种新的量子群智能机制，即量子水黾不仅根据种群的全局最优，而且根据同一群体内量子水黾的主要思想来调整其量子位置。在irs辅助下的大规模MIMO系统中，通过反射矩阵和发射协方差矩阵的联合资源分配，应用QWSA解决信道容量优化问题。通过工程应用问题的仿真实验，验证了该算法显著提高了irs辅助大规模MIMO系统的信道容量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aeu-International Journal of Electronics and Communications 工程技术-电信学

CiteScore

6.90

自引率

18.80%

发文量

292

审稿时长

4.9 months

期刊介绍： AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including: signal and system theory, digital signal processing network theory and circuit design information theory, communication theory and techniques, modulation, source and channel coding switching theory and techniques, communication protocols optical communications microwave theory and techniques, radar, sonar antennas, wave propagation AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.