计算机应用与软件2024，Vol.41Issue(12)：103-108,6.DOI:10.3969/j.issn.1000-386x.2024.12.015
超密集网络中基于分簇的干扰管理算法
CLUSTERING-BASED INTERFERENCE MANAGEMENT ALGORITHM IN ULTRA-DENSE NETWORKS
摘要
Abstract
Aiming at the increasingly serious problem of interference caused by the complex topology of ultra-dense networks,the paper proposes an improved interference graph-based clustering interference management algorithm.The cluster weight value was defined based on the interference relationship and the interference graph was constructed.The pico base station was divided into clusters according to the clustering algorithm,and the clustering threshold was set to avoid the vertices being added into a cluster indefinitely.After the clustering was completed,channels were assigned to users according to their data rate values.Combined with the power allocation algorithm,interference in the cluster can be reduced.The simulation results show that the proposed algorithm can reduce the interference between pico base stations compared with the non-clustering algorithms,and the power allocation iterative algorithm assisted by the energy efficiency function can obtain higher system throughput.关键词
超密集网络/干扰图/干扰权重值/信道分配/功率分配Key words
Ultra-dense network/Interference graph/Interference weight/Channel allocation/Power allocation分类
信息技术与安全科学引用本文复制引用
白小涛,谢健骊..超密集网络中基于分簇的干扰管理算法[J].计算机应用与软件,2024,41(12):103-108,6.基金项目
国家自然科学基金项目(61661026,61661025) （61661026,61661025）
甘肃省科技计划项目(20JR10RA273). （20JR10RA273）
