Access Restriction

Author Ahn, Changjun ♦ Higuchi, Shoichi
Source Directory of Open Access Journals (DOAJ)
Content type Text
Publisher Elsevier
File Format HTM / HTML
Date Created 2017-09-11
Copyright Year ©2017
Language English
Subject Domain (in LCC) T58.5-58.64
Subject Keyword 5G ♦ Information technology ♦ Industrial engineering ♦ QRM-MLD ♦ Technology ♦ Massive MIMO ♦ Parallel detection ♦ Management engineering
Abstract In recent years, massive MIMO systems have been widely researched to realize high-speed data transmission. Since massive MIMO systems use a large number of antennas, these systems require huge complexity to detect the signal. In this paper, we propose a novel detection method for massive MIMO using parallel detection with maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD) to reduce the complexity and latency. The proposed scheme obtains an R matrix after permutation of an H matrix and QR decomposition. The R matrix is also eliminated using a Gauss–Jordan elimination method. By using a modified R matrix, the proposed method can detect the transmitted signal using parallel detection. From the simulation results, the proposed scheme can achieve a reduced complexity and latency with a little degradation of the bit error rate (BER) performance compared with the conventional method.
ISSN 24059595
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2017-09-01
e-ISSN 24059595
Journal ICT Express
Volume Number 3
Issue Number 3
Page Count 5
Starting Page 119
Ending Page 123

Source: Directory of Open Access Journals (DOAJ)