基于5G网络切片的车联网资源分配优化方法

Optimization method of resource allocation based on 5G network slice

由于传统的资源分配方法存在一定不足,故文章提出了基于5G网络切片的物联网资源分配优化方法。首先,对5G切片的资源分配优化方法进行设计,如建立资源分配模型;其次,基于5G网络切片建立资源分配算法;最后,构建边缘服务器资源分配机制,基于以上步骤完成资源分配方法的设计。为验证所设计方法的有效性,文章建立了对比实验,选取基于灰狼优化和匈牙利算法的D2D资源分配策略与基于云雾混合计算的车联网联合资源分配算法作为对比方法对比3种方法性能,最终得出所提方法资源分配时间最短,有效性更高。

Due to the shortcomings of traditional resource allocation methods,the article proposes an IoT resource allocation optimization method based on 5G network slicing.Firstly,design the resource allocation optimization method for 5G slicing,including establishing a resource allocation model;Secondly,establish a resource allocation algorithm based on 5G network slices;Finally,construct an edge server resource allocation mechanism and complete the design of resource allocation methods based on the above steps.To verify the effectiveness of the designed method,the article establishes a comparative experiment.Selecting the D2D resource allocation strategy based on Grey Wolf optimization and Hungarian algorithm and the vehicle networking joint resource allocation algorithm based on cloud and mist hybrid computing as a comparison method to compare the performance of the three methods,it is ultimately concluded that the proposed method has the shortest resource allocation time and higher effectiveness.