摘要
当前,车联网系统中存在频谱资源有限、系统干扰较大、D2D(device to device)用户通信质量差等问题。针对上述情况,提出了一种基于灰狼优化和匈牙利算法的D2D资源分配策略。在保证蜂窝用户以及D2D用户通信质量的前提下,该模型首先利用灰狼优化获得每个D2D用户的最佳发射功率,然后利用匈牙利算法实现D2D用户与蜂窝用户的最佳信道匹配,最大化D2D用户的总容量。仿真结果表明,该算法与和声搜索算法和遗传算法相比,在有效提升D2D用户的总容量同时,单个D2D用户也能获得较高的最大、最小容量。
At present,there are some problems in the Internet of Vehicles system,such as spectrum resources shortage,large system interference,and the communication quality of D2D users.To solve these problems,this paper proposed a D2D resource allocation strategy based on GWO-HA.On the premise of meeting the communication quality of cellular users and D2D users,this model used the gray wolf optimizer(GWO)to get the optimal transmission power of each D2D user.Then it reali-zed the optimal channel matching between DUE and CUE by the Hungarian algorithm(HA)and obtained the maximum total capacity of D2D users.Simulation results show that,compared with harmony search(HS)and genetic algorithm(GA),the proposed algorithm can effectively improve the total capacity of D2D users.At the same time,single D2D user can also obtain high maximum and minimum capacities.
作者
肖瑶
刘会衡
程晓红
安忙忙
Xiao Yao;Liu Huiheng;Cheng Xiaohong;An Mangmang(School of Mechanical Engineering,Hubei University of Arts&Science,Xiangyang Hubei 441053,China;School of Physics&Electronic Engineering,Hubei University of Arts&Science,Xiangyang Hubei 441053,China;Hubei Key Laboratory of Low Dimensional Optoelectronic Materials&Devices,Hubei University of Arts&Science,Xiangyang Hubei 441053,China)
出处
《计算机应用研究》
CSCD
北大核心
2022年第5期1529-1533,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(12105093)。
关键词
D2D
灰狼优化
匈牙利算法
资源分配
车联网
D2D
grey wolf optimizer
Hungarian algorithm
resource allocation
Internet of Vehicles
