基于多目标全局约束的网络通信系统跨层资源分配

Cross-tier Resource Allocation for Network Communication Systems Based on Multi-objective Global Constraints

为了提高网络通信系统跨层资源分配的均衡性,提出基于多目标全局约束的网络通信系统跨层资源分配方法。构建了网络通信系统跨层资源的大数据挖掘模型,采用模糊特征检测方法进行资源特征挖掘,通过模糊关联规则分配方法进行资源特征分解和优化提取;采用层次化演化聚类方法进行资源自适应分块匹配,结合多目标全局约束方法,实现网络通信系统跨层资源分配。仿真结果表明:采用该方法进行网络通信系统跨层资源分配的均衡性较好。

In order to improve the equalization of cross-layer resource allocation in network communication system,a multi-objective global constraint based on cross-layer resource allocation method is proposed. The big data mining model of cross-layer resources of network communication system is built,the resource feature mining is carried out by using fuzzy feature detection method,and resource feature decomposition and optimization extraction are carried out by using fuzzy association rule allocation method. The hierarchical evolutionary clustering method is used for adaptive block matching of resources,and the multi-objective global constraint method is used to realize cross-layer resource allocation of network communication system. The simulation results show that the method has a good balance of cross-layer resource allocation in the network communication system.