可重构智能表面辅助的通信抗干扰性能优化

李亚鹏; 马骏宇; 李强; 葛晓虎

doi:10.11959/j.issn.1000-0801.2025162

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可重构智能表面辅助的通信抗干扰性能优化

研究与开发 | 更新时间：2025-08-07

- 可重构智能表面辅助的通信抗干扰性能优化
- Performance optimization on RIS-assisted communication for anti-jamming
- 电信科学 2025年41卷第7期页码：15-29
- 作者机构：
  
  华中科技大学电子信息与通信学院，湖北武汉 430074
- 作者简介：
  
  [ "李亚鹏（2001- ），男，华中科技大学电子信息与通信学院硕士生，主要研究方向为可重构智能表面、通感一体化等。" ]
  [ "马骏宇（2000- ），男，华中科技大学电子信息与通信学院硕士生，主要研究方向为可重构智能表面、物理层安全等。" ]
  [ "李强（1984- ），男，博士，华中科技大学电子信息与通信学院教授，主要研究方向为无线通信传输、网络性能优化等。" ]
  [ "葛晓虎（1972- ），男，博士，华中科技大学电子信息与通信学院教授，主要研究方向为绿色通信与网络、信息热力学通信等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(U24A20212);华中科技大学“交叉研究支持计划”项目(2024JCYJ022)
- DOI：10.11959/j.issn.1000-0801.2025162
  中图分类号： TP393
- 收稿：2025-03-03，
  
  修回：2025-06-03，
  
  纸质出版：2025-07-20
- 稿件说明：
移动端阅览
李亚鹏,马骏宇,李强等.可重构智能表面辅助的通信抗干扰性能优化[J].电信科学,2025,41(07):15-29.

LI Yapeng,MA Junyu,LI Qiang,et al.Performance optimization on RIS-assisted communication for anti-jamming[J].Telecommunications Science,2025,41(07):15-29.
李亚鹏,马骏宇,李强等.可重构智能表面辅助的通信抗干扰性能优化[J].电信科学,2025,41(07):15-29. DOI： 10.11959/j.issn.1000-0801.2025162.

LI Yapeng,MA Junyu,LI Qiang,et al.Performance optimization on RIS-assisted communication for anti-jamming[J].Telecommunications Science,2025,41(07):15-29. DOI： 10.11959/j.issn.1000-0801.2025162.

摘要

面向高功率全频段干扰场景，可通过部署可重构智能表面提高通信系统抗干扰能力。为了最大化合法信号的信干噪比，综合考虑发射功率、可重构智能表面反射相移等多重约束，构建发射波束成形矢量和可重构智能表面反射系数矩阵的联合优化问题。具体地，在视距通信链路不被阻塞的情况下，针对优化问题高维变量间的复杂耦合性，提出了一种基于交替迭代的优化方案，即将原始高维度、多变量、强耦合的非凸分式规划问题分解为多个子问题，进而利用多维复二次变化、半正定松弛等方法，将各非凸子问题转化为易于求解的凸优化问题，从而进行有效求解。大量仿真分析验证，所提方案能够显著增强无线通信系统的通信抗干扰性能，并在不同系统参数与网络节点位置分布下均展现出良好的鲁棒性和适应性。

Abstract

In the context of high-power jamming scenarios

the anti-jamming ability of communication systems can be enhanced by deploying reconfigurable intelligent surface (RIS). In order to maximize the signal to interference-plus-noise ratio(SINR) of the legitimate signals

a joint optimization problem of the transmit beamforming vector and the reflection coefficient matrix of RIS was formulated

considering multiple constraints such as transmit power and reflection phase shift of RIS. Specifically

in the case where line of sight communication is not blocked

an optimization scheme based on alternating iteration to address the complex coupling between high-dimensional variables in optimization problems was proposed. By decomposing the original high-dimensional

multi-variable and strongly coupled non-convex fractional programming problem into multiple sub-problems

and then transforming each non-convex sub-problem into a solvable convex optimization problem through methods such as multi-dimensional complex quadratic transformation and semi-definite relaxation

the solution was obtained efficiently. Extensive simulations analysis validated that the proposed scheme could significantly enhance the communication anti-jamming performance of wireless communication systems and exhibit excellent robustness and adaptability under various system parameters and network node configurations.

关键词

Keywords

references

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