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1.合肥工业大学计算机与信息学院,安徽 合肥 230601
2.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
3.西安理工大学计算机科学与工程学院,陕西 西安 710048
[ "周墨淼(1991‒ ),男,博士,合肥工业大学计算机与信息学院副教授、硕士生导师,主要研究方向为新型空口技术、低时延高可靠车联网及深度强化学习等。" ]
[ "吴帆(2001‒ ),男,合肥工业大学计算机与信息学院硕士生,主要研究方向为智能反射面、车联网及无线异构网络等。" ]
[ "孙燕实(1992‒ ),男,博士,合肥工业大学计算机与信息学院研究员、硕士生导师,主要研究方向为随机几何、非正交多址接入、无人网络、车联网及卫星网络等。" ]
[ "王侃(1985‒ ),男,博士,西安理工大学计算机科学与工程学院副教授、硕士生导师,主要研究方向为无线资源分配、网络切片、边缘计算及卫星网络等。" ]
收稿日期:2025-02-09,
修回日期:2025-03-03,
纸质出版日期:2025-06-10
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周墨淼,吴帆,孙燕实等.智能反射面辅助的车联网中断性能分析[J].物联网学报,2025,09(02):16-26.
ZHOU Momiao,WU Fan,SUN Yanshi,et al.Outage performance analysis for vehicular communications assisted by intelligent reflecting surfaces[J].Chinese Journal on Internet of Things,2025,09(02):16-26.
周墨淼,吴帆,孙燕实等.智能反射面辅助的车联网中断性能分析[J].物联网学报,2025,09(02):16-26. DOI: 10.11959/j.issn.2096-3750.2025.00483.
ZHOU Momiao,WU Fan,SUN Yanshi,et al.Outage performance analysis for vehicular communications assisted by intelligent reflecting surfaces[J].Chinese Journal on Internet of Things,2025,09(02):16-26. DOI: 10.11959/j.issn.2096-3750.2025.00483.
为解决车联网中车—车(V2V
vehicle-to-vehicle)通信因受到严重遮挡而链路失效的问题,考虑在路边布设智能反射面(IRS
intelligent reflecting surface)辅助V2V通信,分析该辅助通信模式对车联网中断性能的影响。在瑞利衰落模型下,推导了完美相移IRS辅助的V2V通信的中断概率闭式表达式及其渐近表达式;基于对矩母函数的近似变换推导非完美相移IRS辅助的V2V通信的中断概率闭式表达式。同时考虑IRS给邻近的车—基础设施(V2I
vehicle-to-infrastructure)通信带来的同频干扰问题,证明干扰信号服从零均值复高斯分布,进而推导V2I通信的中断概率闭式表达式。仿真结果验证了理论分析的正确性,并表明在相移误差较小的情况下,IRS可有效增强V2V通信的可靠性,且仅会带来极其微弱的同频干扰。
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 generating function. Meanwhile
the co-channel interference caused by IRS to the nearby vehicle-to-infrastructure (V2I) communication was considered
and it was proved that the interference signal follows a zero-mean complex Gaussian distribution. 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 effectively enhance the reliability of the V2V communication while causing extremely weak co-channel interference.
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