Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System

Masashi ITAGAKI; Tetsuya YAMAMOTO; Kazuki TAKEDA; Fumiyuki ADACHI

doi:10.1587/transcom.E95.B.198

Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System

Masashi ITAGAKI, Tetsuya YAMAMOTO, Kazuki TAKEDA, Fumiyuki ADACHI

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Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Non-linear 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 multi-user 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.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.1 pp.198-205

Publication Date: 2012/01/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.198

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Masashi ITAGAKI, Tetsuya YAMAMOTO, Kazuki TAKEDA, Fumiyuki ADACHI, "Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 1, pp. 198-205, January 2012, doi: 10.1587/transcom.E95.B.198.
Abstract: Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Non-linear 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 multi-user 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.198/_p

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@ARTICLE{e95-b_1_198,
author={Masashi ITAGAKI, Tetsuya YAMAMOTO, Kazuki TAKEDA, Fumiyuki ADACHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System},
year={2012},
volume={E95-B},
number={1},
pages={198-205},
abstract={Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Non-linear 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 multi-user 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.},
keywords={},
doi={10.1587/transcom.E95.B.198},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System
T2 - IEICE TRANSACTIONS on Communications
SP - 198
EP - 205
AU - Masashi ITAGAKI
AU - Tetsuya YAMAMOTO
AU - Kazuki TAKEDA
AU - Fumiyuki ADACHI
PY - 2012
DO - 10.1587/transcom.E95.B.198
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2012
AB - Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Non-linear 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 multi-user 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.
ER -