南京邮电大学学报（自然科学版）2018，Vol.38Issue(1)：66-70,5.DOI:10.14132/j.cnki.1673-5439.2018.01.008
基于波束域降维的低复杂度大规模MIMO波束成形方法
Low complexity beamforming for massive MIMO systems by beam domain dimension reduction
摘要
Abstract
Zero forcing (ZF) and minimum mean square error (MMSE) are two widely used methods for beamforming precoding.However,in massive MIMO systems,when the number of antennas at transmitter and receiver is larger,the calculation of the inverse matrix becomes more complex.A beam-domain dimension reduction beamforming scheme is proposed by using beam domain channel matrix to decompose the full-dimensional channel matrix and precoding the low-dimensional matrixes,respectively.The computational complex of the beamforming precoding is decreased by the scheme.Finally,the feasibility of the scheme is verified by simulation.关键词
大规模MIMO/波束域信道矩阵/迫零波束成形/MMSE波束成形Key words
massive MIMO/beam domain channel matrix/zero forcing beamforming (ZFBF)/minimum mean square error (MMSE) beamforming分类
信息技术与安全科学引用本文复制引用
戈腾飞,徐友云,杨震..基于波束域降维的低复杂度大规模MIMO波束成形方法[J].南京邮电大学学报（自然科学版）,2018,38(1):66-70,5.基金项目
国家自然科学基金(61671252,91438115,61371123)资助项目 （61671252,91438115,61371123）
