Performance optimization on RIS-assisted communication for anti-jamming

LI Yapeng; MA Junyu; LI Qiang; GE Xiaohu

doi:10.11959/j.issn.1000-0801.2025162

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Performance optimization on RIS-assisted communication for anti-jamming

Research and Development | 更新时间：2025-08-07

- Performance optimization on RIS-assisted communication for anti-jamming
- Telecommunications Science Vol. 41, Issue 7, Pages: 15-29(2025)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(U24A20212);Interdisciplinary Research Program of HUST(2024JCYJ022)
- DOI：10.11959/j.issn.1000-0801.2025162
  CLC： TP393
- Received：03 March 2025，
  
  Revised：2025-06-03，
  
  Published：20 July 2025
- 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

DI RENZO M , ZAPPONE A , DEBBAH M , et al . Smart radio environments empowered by reconfigurable intelligent surfaces: how it works, state of research, and the road ahead [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 11 ): 2450 - 2525 .

VISHWAKARMA N K , SINGH R K . Design and implementation of FHSS (frequency hopping spread spectrum) synthesizer [C ] // Proceedings of the 2021 7th International Conference on Signal Processing and Communication (ICSC) . Piscataway : IEEE Press , 2021 : 151 - 155 .

DURAISAMY P , NGUYEN L . Performance of self-encoded spread spectrum under pulsed-noise jamming [C ] // Proceedings of the 2010 IEEE 11th International Symposium on Spread Spectrum Techniques and Applications . Piscataway : IEEE Press , 2010 : 170 - 174 .

HAYKIN S . Cognitive radar: a way of the future [J ] . IEEE Signal Processing Magazine , 2006 , 23 ( 1 ): 30 - 40 .

RAHMANIL M . Frequency hopping in cognitive radio networks: a survey [C ] // Proceedings of the 2015 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) . Piscataway : IEEE Press , 2015 : 1 - 6 .

SIMON M K , ALOUINI M S . Digital communication over fading channels: second edition [M ] . New York : John Wiley & Sons , 2004 .

ZHANG Y , ZHENG X H , YANG S , et al . Modeling and performance analysis of frequency hopping spread spectrum communication system [C ] // Proceedings of the 2nd International Conference on Information Science and Engineering . Piscataway : IEEE Press , 2010 : 2184 - 2187 .

ZENG H C . Demo abstract: an anti-jamming wireless communication system [C ] // Proceedings of the IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) . Piscataway : IEEE Press , 2018 : 1 - 2 .

PIRAYESH H , ZENG H C . Jamming attacks and anti-jamming strategies in wireless networks: a comprehensive survey [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 2 ): 767 - 809 .

WU Q Q , ZHANG R . Toward smart and reconfigurable environment: intelligently reconfigurable surface aided wireless network [J ] . IEEE Communications Magazine , 2020 , 58 ( 1 ): 106 - 112 .

PAN C H , REN H , WANG K Z , et al . Reconfigurable intelligent surfaces for 6G systems: principles, applications, and research directions [J ] . IEEE Communications Magazine , 2021 , 59 ( 6 ): 14 - 20 .

楼洋明 , 金梁 . 基于可重构智能表面的单天线盲抗干扰方案 [J ] . 信息工程大学学报 , 2023 , 24 ( 4 ): 406 - 414 .

LOU Y M , JIN L . Single-antenna blind anti-jamming based on reconfigurable intelligent surface [J ] . Journal of Information Engineering University , 2023 , 24 ( 4 ): 406 - 414 .

孙艺夫 , 安康 , 朱勇刚 , 等 . 基于智能反射面的无线抗干扰通信方法 [J ] . 电波科学学报 , 2021 , 36 ( 6 ): 877 - 886 .

SUN Y F , AN K , ZHU Y G , et al . Intelligent reflecting surface assisted anti-jamming approach for wireless communications [J ] . Chinese Journal of Radio Science , 2021 , 36 ( 6 ): 877 - 886 .

郭海燕 , 杨震 , 邹玉龙 , 等 . 基于主被动波束成形联合优化的双RIS辅助抗干扰通信方法 [J ] . 通信学报 , 2022 , 43 ( 7 ): 21 - 30 .

GUO H Y , YANG Z , ZOU Y L , et al . Double-RIS assisted anti-jamming communication method based on joint active and passive beamforming optimization [J ] . Journal on Communications , 2022 , 43 ( 7 ): 21 - 30 .

郭予泽 , 金梁 , 许晓明 , 等 . 基于超表面天线的自适应抗干扰方案 [J ] . 电信科学 , 2024 , 40 ( 7 ): 51 - 62 .

GUO Y Z , JIN L , XU X M , et al . Adaptive anti-jamming scheme based on meta-surface antenna [J ] . Telecommunications Science , 2024 , 40 ( 7 ): 51 - 62 .

SUN Y F , LIN Z , AN K , et al . Multi-functional RIS-assisted semantic anti-jamming communication and computing in integrated aerial-ground networks [J ] . IEEE Journal on Selected Areas in Communications , 2024 , 42 ( 12 ): 3597 - 3617 .

SUN Y F , AN K , ZHU Y G , et al . RIS-assisted robust hybrid beamforming against simultaneous jamming and eavesdropping attacks [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 11 ): 9212 - 9231 .

罗俊松 , 黄平 , 罗欣悦 , 等 . 空中可重构智能表面辅助的全双工无人机安全通信 [J ] . 电信科学 , 2024 , 40 ( 7 ): 34 - 50 .

LUO J S , HUANG P , LUO X Y , et al . Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication [J ] . Telecommunications Science , 2024 , 40 ( 7 ): 34 - 50 .

ZHANG Z J , DAI L L , CHEN X B , et al . Active RIS vs . passive RIS: which will prevail in 6G? [J ] . IEEE Transactions on Communications , 2023 , 71 ( 3 ): 1707 - 1725 .

LONG R Z , LIANG Y C , PEI Y Y , et al . Active reconfigurable intelligent surface-aided wireless communications [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 8 ): 4962 - 4975 .

REN Y Q , ZHOU R Y , TENG X K , et al . On deployment position of RIS in wireless communication systems: analysis and experimental results [J ] . IEEE Wireless Communications Letters , 2023 , 12 ( 10 ): 1756 - 1760 .

MUTLU U , KABALCI Y , CENGIZ A . Channel estimation in RIS-aided multi-user OFDM communication systems [C ] // Proceedings of the 2024 6th Global Power, Energy and Communication Conference (GPECOM) . Piscataway : IEEE Press , 2024 : 765 - 770 .

IVASHINA M V , MAASKANT R , WOESTENBURG B . Equivalent system representation to model the beam sensitivity of receiving antenna arrays [J ] . IEEE Antennas and Wireless Propagation Letters , 2008 , 7 : 733 - 737 .

SOUDEN M , BENESTY J , AFFES S . On optimal beamforming for noise reduction and interference rejection [C ] // Proceedings of the 2009 IEEE Work-shop on Applications of Signal Processing to Audio and Acoustics . Piscataway : IEEE Press , 2009 : 109 - 112 .

GUNTHER J , MOON T . An interior point method for a semidefinite relaxation based equalizer incorporating prior information [C ] // Proceedings of the 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) . Piscataway : IEEE Press , 2011 : 149 - 152 .

BOULOGEORGOS A A , ALEXIOU A . Pathloss modeling of reconfigurable intelligent surface assisted THz wireless systems [C ] // Proceedings of the ICC 2021 - IEEE International Conference on Communications . Piscataway : IEEE Press , 2021 : 1 - 6 .

李浩 , 彭华 . 基于半正定松弛的MIMO盲检测 [J ] . 电子与信息学报 , 2016 , 38 ( 11 ): 2893 - 2899 .

LI H , PENG H . Blind detection of MIMO via semidefinite relaxation [J ] . Journal of Electronics & Information Technology , 2016 , 38 ( 11 ): 2893 - 2899 .

SHEN K M , YU W . Fractional programming for communication systems: part I: power control and beamforming [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 10 ): 2616 - 2630 .

ISSA M , ARTAIL H . Using reflective intelligent surfaces for indoor scenarios: channel modeling and RIS placement [C ] // Proceedings of the 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) . Piscataway : IEEE Press , 2021 : 277 - 282 .

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