一种T2T资源分配算法的设计与仿真  

Design and Simulation of a T2T Resource Allocation Aalgorith

作　　者：吕宏志 刘晓娟[1] 宋桭宅 刘文珍 LV Hong-zhi;LIU Xiao-juan;SONG Chen-zhai;LIU Wen-zhen(School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China)

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《计算机仿真》2022年第6期141-145,共5页Computer Simulation

基　　金：国家自然科学基金(61763025);甘肃省自然科学基金项目(18JR3RA106)。

摘　　要：当前的T2T资源分配算法无法准确选择T2T资源通信信道匹配链路,导致T2T链路吞吐量偏低,资源分配效果不理想。现提出基于双边选择和果蝇算法协同优化的T2T资源分配算法。以车车通信系统获取的最大化吞吐量为资源分配目标。在资源信道选择的同时,利用稳定匹配算法为车车通信提供偏向T2T链路吞吐性能的信道匹配链路。引入正余弦算法改进果蝇算法,加快算法的搜索效率,提升收敛精度。在资源分配功率控制时,利用改进果蝇算法优化功率响应,最大化系统总吞吐量、优化T2T链路吞吐量。实验证明,所提出算法下T2T链路吞吐量提升约70%,优化了T2T链路的稳定性。The wrong selection of the T2 T resource communication channel matching link leads to low throughput and poor resource allocation effect of the T2 T link. This paper proposes a T2 T resource allocation algorithm based on bilateral selection and fruit fly algorithm. The maximum throughput obtained by the vehicle communication system was set as the resource allocation target. The stable matching algorithm was used to provide channel matching links biased to the throughput performance of T2 T links for vehicle-to-vehicle communication. The sine cosine algorithm was introduced to improve the Drosophila algorithm for speeding up the search efficiency and improving the convergence accuracy. During resource allocation power control, the improved Drosophila algorithm was utilized to optimize the power response, maximizing the total system throughput and optimizing the T2 T link throughput. The experiments show that the T2 T link throughput of the algorithm is improved by about 70%, indicating that the stability of the T2 T link is optimized.

关 键 词：车车通信 信道匹配 功率优化 稳定匹配 改进果蝇算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]