数据采集与处理2017，Vol.32Issue(1)：134-140,7.DOI:10.16337/j.1004-9037.2017.01.016
基于分层聚类和干扰对齐的MIMO链路调度算法
Novel MIMO Link Scheduling Algorithm Based on Hierarchical Clustering and Interference Alignment
摘要
Abstract
The signaling overheads of interference alignment (IA) obtaining global channel state information increase with the number of links.Grouping the links into clusters,within which the interference are processed by IA,becomes an effective method to reduce the overheads.Considering the fact of high computational complexity in the process of link partition,an alternative link partition algorithm based on minimum signal-to-interference-ratio (MinSIR) is proposed.Furthermore,when all the clusters simultaneously transmit in a single timeslot,the signal-to interference-plus-noise-ratio (SINR) at the receivers of several links was insufficient for successful transmission.To solve such a problem,the link scheduling problem was substituted by a novel cluster-based scheduling algorithm using hierarchical clustering.The theoretical analysis and simulation results show that the proposed link partition algorithm obviously reduced the computational complexity,and obtained superiors system throughput.Meanwhile,the clusterbased scheduling algorithm effectively improved the SINR at the receivers of links,which potentially supported the system decision of scheduling scheme for specified performance demand.关键词
链路调度/干扰对齐/MIMO网络/分层聚类Key words
MIMO network/interference alignment/MIMO network/hierarchical clustering分类
信息技术与安全科学引用本文复制引用
熊最,王可人,金虎,钱锋..基于分层聚类和干扰对齐的MIMO链路调度算法[J].数据采集与处理,2017,32(1):134-140,7.
