空中可重构智能面辅助车辆通信信道建模研究  

Research on Channel Modeling for Aerial Reconfigurable Intelligent Surfaces-assisted Vehicle Communications

作　　者：潘旭婷 石旺旗 熊柏苹 郭道省 江浩[1,2] PAN Xuting;SHI Wangqi;XIONG Baiping;GUO Daoxing;JIANG Hao(School of Artificial Intelligence,Nanjing University of Information Science and Technology,Nanjing 210044,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China;College of Communication Engineering,Army Engineering University,Nanjing 210007,China)

机构地区：[1]南京信息工程大学人工智能学院,南京210044 [2]东南大学移动通信国家重点实验室,南京210096 [3]陆军工程大学通信工程学院,南京210007

出　　处：《电子与信息学报》2025年第3期600-611,共12页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62471238,U22A2002);江西省科技创新基地资助计划(20242BCC32016)。

摘　　要：可重构智能表面(RIS)能够调控入射电磁波以优化通信系统性能,是第6代(6G)无线通信技术的关键创新。将可重构智能表面部署于无人机(UAV)上,借助无人机的灵活运动轨迹和按需部署特性,可以有效解决因树木和建筑等障碍物遮挡所引起的信息传输效率下降的问题。针对空中可重构智能表面辅助的车对车(V2V)通信场景,该文提出了一种基于几何的3维信道模型,该模型综合考虑了无人机在3个自由度下的旋转和任意轨迹移动,以及无人姿态变化对于信道模型的影响,引入了时变空间相位。此外,还考虑了发射端、接收端和无人机的实时运动速度和方向,给出了复信道脉冲响应(CIRs)的表达式,并对空域互相关函数(CCFs)、时域自相关函数(ACFs)和信道容量等关键信道统计特性进行了详细分析。仿真结果表明,所提信道模型能够准确捕获信道特性,为未来可重构智能面辅助无线通信的系统设计和优化提供了有价值的理论参考。Objective The Internet of Vehicles(IoV)is a global innovation focus,enabling ubiquitous interconnection among vehicles,roads,and people,thereby reducing traffic congestion and improving traffic safety.Vehicle-to-Vehicle(V2V)communication represents one of the most prominent application scenarios in IoV.This study addresses the reduced efficiency of V2V communication caused by environmental obstacles such as buildings and trees.It proposes the deployment of Reconfigurable Intelligent Surfaces(RIS)on Unmanned Aerial Vehicles(UAVs),leveraging their high mobility and on-demand deployment capability to enhance V2V communication under 6G networks.The model improves communication link quality and stability by utilizing the reflective properties of aerial RIS to mitigate signal attenuation and interference.This research develops a geometry-based Three-Dimensional(3D)dynamic channel model that incorporates the effects of UAV rotation,trajectory movement,and attitude changes on channel characteristics,enabling adaptation to dynamic and non-stationary communication scenarios.The findings provide a theoretical foundation for designing and optimizing RIS-assisted wireless communication systems through statistical analyses in the temporal,spatial,and frequency domains.Methods RIS can regulate incident electromagnetic waves to optimize communication system performance and are regarded as a crucial innovation in Sixth Generation(6G)wireless communication technology.Deploying RIS on UAVs effectively addresses reduced information transmission efficiency caused by obstacles such as trees and buildings,leveraging UAVs'flexible trajectories and on-demand deployment capabilities.This study proposes a geometry-based 3D dynamic channel model,considering the UAV's trajectory,three degrees of rotational freedom(pitch,yaw,and roll angles),and attitude changes.Channel propagation components are divided into aerial RIS array components and Non-Line-of-Sight(NLoS)components.Each RIS unit is modeled as an independent reflector capable of alter

关 键 词：车对车通信 可重构智能表面 无人机 信道模型 

分 类 号：TN929.5[电子电信—通信与信息系统]