任务驱动的立体无线Mesh网络多维资源智能协同算法研究OA

In order to deal with the problem of multi-dimensional resource allocation in future wireless Mesh networks with limited resources and dynamic changes in network topology and user demands in emergency communication sce-narios,a dynamic Mesh network slicing end-to-end service stable matching algorithm for 6G networks was proposed.Firstly,according to the differentiated service requirements of different services and based on Gale-Shapley matching idea,the multi-service end-to-end service problem was expressed as hierarchical bipartite stable matching process.Then,preference lists of requesters and service providers were established,and stable matching of user-slice-base station and service flow-service path were carried out on the access side and the return side respectively.Complete an end-to-end ser-vice that differentiates task types.The simulation results showed that the proposed stable matching algorithm had good performance in reducing network cost,improving the success rate of service and distinguishing the differentiated needs of high reliability,low latency and large bandwidth services of service types.