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

作　　者：盖昊宇 Gai Haoyu(School of Applied Engineering,Anhui Business and Technology College,Hefei,Anhui 231131,China)

机构地区：[1]安徽工商职业学院应用工程学院,安徽合肥231131

出　　处：《黑龙江工业学院学报（综合版）》2020年第3期101-105,共5页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：安徽省高校自然科学研究重点项目(编号:KJ2019A1167);安徽省省级质量工程项目(编号:2017ZHKT057,2018JYXM1414,2015SJJD052,2019XQSXZX71)。

摘　　要：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.

关 键 词：多目标全局约束 网络通信 系统 跨层资源 分配 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]