电磁干扰对IRS辅助短包通信的影响

袁磊; 雷妍; 袁花花; 莫名秀

doi:10.12263/DZXB.20241029

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电磁干扰对IRS辅助短包通信的影响

学术论文 | 更新时间：2025-12-10

- 电磁干扰对IRS辅助短包通信的影响
- Impact of Electromagnetic Interference on IRS Aided Short-Packet Communication
- 电子学报 2025年53卷第7期页码：2470-2481
- 作者机构：
  
  兰州大学信息科学与工程学院，甘肃兰州 730000
- 作者简介：
  
  [ "袁磊男，1981年10月出生于甘肃省兰州市.现为兰州大学信息科学与工程学院副教授、硕士生导师.研究方向为智能通信和新一代移动通信技术等.中国电子学会会员编号：E190013434M. E-mail: yuanl@lzu.edu.cn" ]
  [ "雷妍女，2001年5月出生于广东省深圳市.现为兰州大学信息科学与工程学院硕士研究生.研究方向为智能反射面技术. E-mail: leiy2023@lzu.edu.cn" ]
  [ "袁花花女，1998年12月出生于甘肃省定西市.现为兰州大学信息科学与工程学院硕士研究生.研究方向为短包通信技术. E-mail: 220220942550@lzu.edu.cn" ]
  [ "莫名秀女，1998年4月出生于广西省玉林市.现为兰州大学信息科学与工程学院硕士研究生.研究方向为NOMA和短包通信技术.E-mail: 220220943480@lzu.edu.cn" ]
- 基金信息：
  
  甘肃省自然科学基金(22JR5RA490)
- DOI：10.12263/DZXB.20241029
  中图分类号： TN911;
- 收稿：2024-11-13，
  
  修回：2025-05-06，
  
  纸质出版：2025-07-25
- 稿件说明：
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袁磊, 雷妍, 袁花花, 等. 电磁干扰对IRS辅助短包通信的影响[J]. 电子学报, 2025, 53(07): 2470-2481.

YUAN Lei, LEI Yan, YUAN Hua-hua, et al. Impact of Electromagnetic Interference on IRS Aided Short-Packet Communication[J]. Acta Electronica Sinica, 2025, 53(07): 2470-2481.
袁磊, 雷妍, 袁花花, 等. 电磁干扰对IRS辅助短包通信的影响[J]. 电子学报, 2025, 53(07): 2470-2481. DOI：10.12263/DZXB.20241029

YUAN Lei, LEI Yan, YUAN Hua-hua, et al. Impact of Electromagnetic Interference on IRS Aided Short-Packet Communication[J]. Acta Electronica Sinica, 2025, 53(07): 2470-2481. DOI：10.12263/DZXB.20241029

摘要

智能反射面（Intelligent Reflecting Surface，IRS）辅助通信被认为是未来无线网络中最具前景的技术之一.然而，当电磁干扰存在时，IRS在放大有用信号的同时也会放大干扰信号，从而导致IRS辅助通信系统的性能显著恶化.超可靠低延时通信（Ultra Reliable and Low Latency Communication，URLLC）是未来无线网络的一个重要应用场景.本文研究了电磁干扰对IRS辅助短包通信（Short Packet Communication，SPC）实现URLLC的影响.在假设小尺度衰落服从莱斯分布且IRS基于统计信道状态信息（Channel State Information，CSI）进行相位偏移调整的情况下，本文首先利用中心极限定理（Central Limit Theorem，CLT）、矩匹配方法以及SPC相关理论，推导出了用户平均块错误率（BLock Error Rate，BLER）闭合表达式；其次，在用户可靠性约束下，提出了一种基于二分法的优化算法，以最小化系统传输时延；最后，通过仿真验证了理论分析的准确性.仿真结果表明：在用户可靠性约束条件下，相较于无电磁干扰环境，电磁干扰的存在显著削弱了通过增加IRS单元数目来降低SPC传输时延的能力.

Abstract

Intelligent reflecting surface (IRS) aided communication is regarded as one of the most promising techniques in the future wireless networks. When electromagnetic interference exists

the system performance of IRS aided communication degrades significantly due to the fact that IRS can amplify both the desired signal and the interference signal. Ultra reliable and low latency communication (URLLC) is an important application scenario in the future wireless networks. The impact of electromagnetic interference on IRS aided short-packet communication (SPC)

which accomplishes URLLC

was analyzed in this paper. Under the assumption that small-scale fading followed Rician distribution and IRS used the statistical channel state information (CSI) to adjust the phase shifts

the closed-form expression for average block error rate (BLER) at the user is firstly derived by using the central limit theorem (CLT)

moment matching method

and SPC related theory. Then

an optimization algorithm based on bisection search algorithm is proposed to minimize the system transmission latency under the reliability constraint of the user. Finally

simulation is used to validate the theoretical analysis. The simulation results show that

under the user’s reliability constraint

the presence of electromagnetic interference obviously degrades the capability to lower the transmission latency by increasing the number of elements of IRS compared to the environment without electromagnetic interference.

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references

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