Uplink capacity of OFDM multi-user MIMO using near-ML detection in a cellular system

Masashi Itagaki, Tetsuya Yamamoto, Kazuki Takeda, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Nonlinear MIMO signal detection methods with less computational complexity have been widely studied for single-user MIMO systems. In this paper, we investigate how a lattice reduction (LR)-aided detection and a maximum likelihood detection (MLD) employing the QR decomposition and M-algorithm (QRM-MLD), which are commonly known as non-linear MIMO signal detection methods, improve the uplink capacity of a multiuser MIMO-OFDM cellular system, compared to simple linear detection methods such as zero-forcing detection (ZFD) and minimum mean square error detection (MMSED). We show that both LR-aided linear detection and QRM-MLD can achieve higher uplink capacity than simple linear detection at the cost of moderate increase of computational complexity. Furthermore, QRM-MLD can obtain the same uplink capacity as MLD.

Original languageEnglish
Pages (from-to)198-205
Number of pages8
JournalIEICE Transactions on Communications
VolumeE-95-B
Issue number1
DOIs
Publication statusPublished - 2012 Jan

Keywords

  • Lattice reduction
  • Multi-user MIMO
  • OFDM
  • QRM-MLD
  • Uplink capacity

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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