Low-complexity joint antenna and user selection scheme for the downlink multiuser massive MIMO system with complexity reduction factors

Maung Sann Maw, Aye Mon Htun, Iwao Sasase

Research output: Contribution to journalArticle

Abstract

Multiuser massive multi-input multi-output (MU massive MIMO) is considered as a promising technology for the fifth generation (5G) of the wireless communication system. In this paper, we propose a low-complexity joint antenna and user selection scheme with block diagonalization (BD) precoding for MU massive MIMO downlink channel in the time division duplex (TDD) system. The base station (BS) is equipped with a large-scale transmit antenna array while each user is using the single receive antenna in the system. To reduce the hardware cost, BS will be implemented by limited number of radio frequency (RF) chains and BS must activate some selected transmit antennas in the BS side for data transmitting and some users’ receive antennas in user side for data receiving. To achieve the reduction in the computation complexity in the antenna and user selection while maintaining the same or higher sum-rate in the system, the proposed scheme relies on three complexity reduction key factors. The first key factor is that finding the average channel gains for the transmit antenna in the BS side and the receive antenna in the user side to select the best channel gain antennas and users. The second key factor called the complexity control factor ξ(Xi) for the antenna set and the user set limitation is used to control the complexity of the brute force search. The third one is that using the assumption of the point-to-point deterministic MIMO channel model to avoid the singular value decomposition (SVD) computation in the brute force search. We show that the proposed scheme offers enormous reduction in the computation complexity while ensuring the acceptable performance in terms of total system sum-rate compared with optimal and other conventional schemes.

Original languageEnglish
Pages (from-to)592-602
Number of pages11
JournalIEICE Transactions on Communications
VolumeE102B
Issue number3
DOIs
Publication statusPublished - 2019 Mar 1

Fingerprint

MIMO systems
Antennas
Base stations
Singular value decomposition
Antenna arrays
Communication systems
Hardware

Keywords

  • Block diagonalization
  • Complexity
  • Joint antenna and user selection
  • Massive MIMO
  • Singular value decomposition

ASJC Scopus subject areas

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

Cite this

Low-complexity joint antenna and user selection scheme for the downlink multiuser massive MIMO system with complexity reduction factors. / Sann Maw, Maung; Htun, Aye Mon; Sasase, Iwao.

In: IEICE Transactions on Communications, Vol. E102B, No. 3, 01.03.2019, p. 592-602.

Research output: Contribution to journalArticle

@article{707617d9a96941fab800b1bb20d18868,
title = "Low-complexity joint antenna and user selection scheme for the downlink multiuser massive MIMO system with complexity reduction factors",
abstract = "Multiuser massive multi-input multi-output (MU massive MIMO) is considered as a promising technology for the fifth generation (5G) of the wireless communication system. In this paper, we propose a low-complexity joint antenna and user selection scheme with block diagonalization (BD) precoding for MU massive MIMO downlink channel in the time division duplex (TDD) system. The base station (BS) is equipped with a large-scale transmit antenna array while each user is using the single receive antenna in the system. To reduce the hardware cost, BS will be implemented by limited number of radio frequency (RF) chains and BS must activate some selected transmit antennas in the BS side for data transmitting and some users’ receive antennas in user side for data receiving. To achieve the reduction in the computation complexity in the antenna and user selection while maintaining the same or higher sum-rate in the system, the proposed scheme relies on three complexity reduction key factors. The first key factor is that finding the average channel gains for the transmit antenna in the BS side and the receive antenna in the user side to select the best channel gain antennas and users. The second key factor called the complexity control factor ξ(Xi) for the antenna set and the user set limitation is used to control the complexity of the brute force search. The third one is that using the assumption of the point-to-point deterministic MIMO channel model to avoid the singular value decomposition (SVD) computation in the brute force search. We show that the proposed scheme offers enormous reduction in the computation complexity while ensuring the acceptable performance in terms of total system sum-rate compared with optimal and other conventional schemes.",
keywords = "Block diagonalization, Complexity, Joint antenna and user selection, Massive MIMO, Singular value decomposition",
author = "{Sann Maw}, Maung and Htun, {Aye Mon} and Iwao Sasase",
year = "2019",
month = "3",
day = "1",
doi = "10.1587/transcom.2018EBP3122",
language = "English",
volume = "E102B",
pages = "592--602",
journal = "IEICE Transactions on Communications",
issn = "0916-8516",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "3",

}

TY - JOUR

T1 - Low-complexity joint antenna and user selection scheme for the downlink multiuser massive MIMO system with complexity reduction factors

AU - Sann Maw, Maung

AU - Htun, Aye Mon

AU - Sasase, Iwao

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Multiuser massive multi-input multi-output (MU massive MIMO) is considered as a promising technology for the fifth generation (5G) of the wireless communication system. In this paper, we propose a low-complexity joint antenna and user selection scheme with block diagonalization (BD) precoding for MU massive MIMO downlink channel in the time division duplex (TDD) system. The base station (BS) is equipped with a large-scale transmit antenna array while each user is using the single receive antenna in the system. To reduce the hardware cost, BS will be implemented by limited number of radio frequency (RF) chains and BS must activate some selected transmit antennas in the BS side for data transmitting and some users’ receive antennas in user side for data receiving. To achieve the reduction in the computation complexity in the antenna and user selection while maintaining the same or higher sum-rate in the system, the proposed scheme relies on three complexity reduction key factors. The first key factor is that finding the average channel gains for the transmit antenna in the BS side and the receive antenna in the user side to select the best channel gain antennas and users. The second key factor called the complexity control factor ξ(Xi) for the antenna set and the user set limitation is used to control the complexity of the brute force search. The third one is that using the assumption of the point-to-point deterministic MIMO channel model to avoid the singular value decomposition (SVD) computation in the brute force search. We show that the proposed scheme offers enormous reduction in the computation complexity while ensuring the acceptable performance in terms of total system sum-rate compared with optimal and other conventional schemes.

AB - Multiuser massive multi-input multi-output (MU massive MIMO) is considered as a promising technology for the fifth generation (5G) of the wireless communication system. In this paper, we propose a low-complexity joint antenna and user selection scheme with block diagonalization (BD) precoding for MU massive MIMO downlink channel in the time division duplex (TDD) system. The base station (BS) is equipped with a large-scale transmit antenna array while each user is using the single receive antenna in the system. To reduce the hardware cost, BS will be implemented by limited number of radio frequency (RF) chains and BS must activate some selected transmit antennas in the BS side for data transmitting and some users’ receive antennas in user side for data receiving. To achieve the reduction in the computation complexity in the antenna and user selection while maintaining the same or higher sum-rate in the system, the proposed scheme relies on three complexity reduction key factors. The first key factor is that finding the average channel gains for the transmit antenna in the BS side and the receive antenna in the user side to select the best channel gain antennas and users. The second key factor called the complexity control factor ξ(Xi) for the antenna set and the user set limitation is used to control the complexity of the brute force search. The third one is that using the assumption of the point-to-point deterministic MIMO channel model to avoid the singular value decomposition (SVD) computation in the brute force search. We show that the proposed scheme offers enormous reduction in the computation complexity while ensuring the acceptable performance in terms of total system sum-rate compared with optimal and other conventional schemes.

KW - Block diagonalization

KW - Complexity

KW - Joint antenna and user selection

KW - Massive MIMO

KW - Singular value decomposition

UR - http://www.scopus.com/inward/record.url?scp=85064011299&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064011299&partnerID=8YFLogxK

U2 - 10.1587/transcom.2018EBP3122

DO - 10.1587/transcom.2018EBP3122

M3 - Article

VL - E102B

SP - 592

EP - 602

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 3

ER -