电讯技术2017，Vol.57Issue(8)：932-937,6.DOI:10.3969/j.issn.1001-893x.2017.08.013
基于字典学习的毫米波大规模MIMO系统混合预编码
Hybrid Precoding Based on Dictionary Learning in Millimeter Wave Massive MIMO Systems
摘要
Abstract
For the difficult problem of designing the hybrid precoding for millimeter wave( MMW) massive multiple-input multiple-output( MIMO) systems,a high-precision hybrid precoding scheme based on dic-tionary learning is proposed. The scheme firstly sparsely represents each column of the full digital precod-ing matrix,then seperates each dictionary atom from the sparse representation by column and updates corre-sponding dictionary atom via performing singular value decomposition( SVD) on the error matrix. Until the entire dictionary atoms are completely updated,the new dictionary matrix is achieved. Finally,the analog precoding matrix and digital precoding matrix can be obtained by sparsely reconstructing the full digital precoding matrix. Simulation results show that the proposed scheme greatly outperforms the hybrid precod-ing method based on orthogonal matching pursuit( OMP) algorithm in terms of increasing spectrum efficien-cy and decreasing bit error rate( BER) .关键词
毫米波大规模MIMO/混合预编码/字典学习/稀疏重构Key words
millimeter wave massive MIMO/hybrid precoding/dictionary learning/sparse reconstruction分类
信息技术与安全科学引用本文复制引用
查培,景小荣..基于字典学习的毫米波大规模MIMO系统混合预编码[J].电讯技术,2017,57(8):932-937,6.基金项目
国家科技重大专项(2016ZX03001010-004) （2016ZX03001010-004）
重庆市基础与前沿研究计划项目(cstc2015jcyjA40040) （cstc2015jcyjA40040）
