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智能反射面辅助的车联网中断性能分析

周墨淼 吴帆 孙燕实 王侃

物联网学报2025,Vol.9Issue(2):16-26,11.
物联网学报2025,Vol.9Issue(2):16-26,11.DOI:10.11959/j.issn.2096-3750.2025.00483

智能反射面辅助的车联网中断性能分析

Outage performance analysis for vehicular communications assisted by intelligent reflecting surfaces

周墨淼 1吴帆 2孙燕实 2王侃3

作者信息

  • 1. 合肥工业大学计算机与信息学院,安徽 合肥 230601||交通物联网技术湖北省重点实验室(武汉理工大学),湖北 武汉 430070
  • 2. 合肥工业大学计算机与信息学院,安徽 合肥 230601
  • 3. 西安理工大学计算机科学与工程学院,陕西 西安 710048
  • 折叠

摘要

Abstract

To address the vehicle-to-vehicle(V2V)link failure caused by severe shadowing in vehicular networks,roadside-based intelligent reflecting surfaces(IRS)were considered to assist the V2V communications,and the outage performance of the vehicular networks with such communication mode was analyzed.Under the Rayleigh fading model,the closed-form expression and asymptotic expression of the outage probability for the perfect phase-shift IRS-assisted V2V communication were derived respectively.The closed-form expression of the outage probability for the non-perfect phase-shift IRS-assisted V2V communication was derived based on an approximate transformation of the moment gener-ating function.Meanwhile,the co-channel interference caused by IRS to the nearby vehicle-to-infrastructure(V2I)com-munication was considered,and it was proved that the interference signal follows a zero-mean complex Gaussian distribu-tion.Then the closed-form expression of the outage probability of the V2I communication was derived.Simulation results verified the correctness of the theoretical derivations and it was shown that,with minor phase shift error,IRS could effec-tively enhance the reliability of the V2V communication while causing extremely weak co-channel interference.

关键词

车联网/智能反射面/中断概率/同频干扰/可靠性

Key words

Internet of vehicles/IRS/outage probability/co-channel interference/reliability

分类

信息技术与安全科学

引用本文复制引用

周墨淼,吴帆,孙燕实,王侃..智能反射面辅助的车联网中断性能分析[J].物联网学报,2025,9(2):16-26,11.

基金项目

国家自然科学基金资助项目(No.62001152,No.62301208) (No.62001152,No.62301208)

安徽省自然科学基金资助项目(No.2408085MF160)The National Natural Science Foundation of China(No.62001152,No.62301208),Anhui Provincial Natural Sci-ence Foundation(No.2408085MF160) (No.2408085MF160)

物联网学报

2096-3750

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