IRS-D2D混合通信车联网场景下的资源优化策略  

Resource optimisation strategies for IRS-D2D hybrid communication in Internet of Vehicles scenarios

作　　者：吴微 徐涴砯 Wu Wei;Xu Wanping(College of Information Engineering,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学信息工程学院,上海201306

出　　处：《计算机应用研究》2025年第2期560-565,共6页Application Research of Computers

基　　金：上海市青年科技英才扬帆计划资助项目(20YF1416700)。

摘　　要：针对城市道路车联网存在视距链路阻塞和资源有限等问题,提出一种基于混合通信车联网场景下的智能反射面(IRS)辅助的资源优化策略。该方案构建了IRS辅助的车联网系统,并在该系统中使用D2D技术增加距离基站较远车辆的数据传输能力。为了提升系统的频谱效率,在该系统中引入认知无线电技术(CR),将D2D用户下垫式地接入基站用户信道,在不超过基站用户预设干扰门限的情况下传输数据。针对所构建的IRS-D2D混合通信车联网系统模型,提出基于系统和速率最大化的有限资源优化分配问题。在满足用户通信服务质量的条件下,通过联合优化功率分配、IRS相移和频谱资源分配的方法,实现系统和速率的最大化。由于提出的优化问题是一个多变量的混合整数非凸问题,难以在多项式时间内求得最优值,故采用两阶段联合分配方案。具体地,在第一阶段,联合优化功率分配和IRS相移,通过松弛变量法得到局部最优解。在第二阶段,使用交替优化算法进行频谱资源分配。仿真结果表明,IRS辅助车联网的资源优化策略提升了系统的和速率和频谱效率,所提资源分配方案优于现有方案。由此IRS-D2D的通信技术可以应用在车联网中。To solve the problems of line-of-sight link blocking and limited resources in urban road IoV,this paper proposed a resource optimization strategy based on intelligent reflecting surface(IRS)in hybrid communication IoV scenarios,which constructed an IRS-assisted IoV system,and used D2D technology to increase the data transmission capacity of vehicles that were far away from the base station(BS)in this system.In order to improve the spectral efficiency of the system,this system introduced CR technology,allowing D2D users to underlay into the BS user channel and transmit data without exceeding the preset interference threshold for BS users.For the constructed IRS-D2D hybrid communication IoV system model,this paper proposed a finite resource optimization allocation problem based on maximization of system sum rate.To achieve system sum rate maximization,this problem jointly optimized the power allocation,IRS phase shift and spectrum resource allocation under the condition of satisfying the user s communication quality of service(QoS).Since the optimization problem was a multivariate mixed integer non-convex problem,which was difficult to find the optimal value in polynomial time,the optimization problem adopted a two-stage joint allocation scheme.Specifically,in the first stage,optimize power allocation and IRS phase shifted by using the slack variable method to obtain a local optimal solution.In the second stage,it employed an alternating optimization algorithm for spectrum resource allocation.Simulation results show that the IRS assisted resource optimization strategy improves system sum rate and spectral efficiency,outperforming existing schemes.Consequently,IRS-D2D communication technology proves to be a viable solution for IoV.

关 键 词：智能反射面 车联网 D2D 认知无线电 资源分配 

分 类 号：TN929.5[电子电信—通信与信息系统]