车联网D2D通信中最大化频谱资源利用率分配算法

Allocation algorithm for maximizing spectrum resource utilization onD2D communication in Internet of Vehicles

无线通信技术快速发展,终端设备不断增多,为缓解这一现象,提升系统网络容量,针对车联网蜂窝D2D(device to device)通信资源分配问题,提出了一种最大化频谱资源利用率分配算法。该算法以最大化频谱资源利用率为优化目标,在满足车联网通信的基本服务质量(quality of service,QoS)下,通过V2V(vehicle to vehicle)和V2P(vehicle to people)共享信道资源来提高频谱资源利用率。首先利用信道状态信息定义的链路增益因子为终端用户找到潜在的通信链路集合;然后证明终端用户复用链路资源时功率分配问题为一个凸优化问题,利用凸优化理论求得最优传输功率;随后求解最优的信道匹配问题,此问题为多对一的加权匹配问题,为降低算法复杂度用KM(Kuhn Munkres)算法来求解。仿真结果表明,所提算法较其他算法能够有效地提升系统吞吐量、提高频谱资源利用率、提升网络性能,优化车联网通信资源分配问题。

With the rapid development of wireless communication technology and the increasing number of terminal devices,in order to alleviate this phenomenon and increase the system network capacity,aiming at the problem of cellular D2D(device to device)communication resource allocation in the Internet of Vehicles,this paper proposed an allocation algorithm to maximize the utilization of spectrum resources.The algorithm took maximizing the utilization of spectrum resources as the optimization goal,and met the basic quality of service(QoS)for Internet of Vehicles communication,and used V2V(vehicle to vehicle)and V2P(vehicle to people)share channel resources to improve spectrum resource utilization.Firstly,it used the link gain factor defined by the channel state information to find a set of potential communication links for the end user,then proved that the power allocation problem when end users reused link resources was a convex optimization problem,and used convex optimization theory to obtain the optimal transmission power.Finally,this paper solved the optimal channel matching problem.This problem was a many-to-one weighted matching problem,this paper solved it by KM(Kuhn Munkres)algorithm to reduce the complexity of the algorithm.Simulation results show that,compared with other algorithms,the proposed algorithm can effectively improve system throughput,increase spectrum resource utilization,improve network performance,and optimize vehicle networking communication resource allocation.