Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels

Lin Dai, Sana Sfar, Khaled Letaief

Research output: Contribution to journalArticle

71 Citations (Scopus)

Abstract

Recent work has shown that multiple-input multiple-output (MIMO) systems with multiple antennas at both the transmitter and receiver are able to achieve great capacity improvement. In such systems, it is desirable to select a subset of the available antennas so as to reduce the number of radio frequency (RF) chains. This paper addresses the problem of antenna selection in correlated channels. We consider a narrowband communication system with M transmit and N receive antennas. We present the criterion for selecting the optimal Ltout of M transmit and Lr out of N receive antennas in terms of capacity maximization, assuming that only the long-term channel statistics, instead of the instantaneous channel-state information, are known. Simulations will be used to validate our theoretical analysis and demonstrate that the number of required RF chains can be significantly decreased using our proposed selection strategy, while achieving even better performance than the conventional MIMO system without antenna selection.

Original languageEnglish
Pages (from-to)563-573
Number of pages11
JournalIEEE Transactions on Communications
Volume54
Issue number3
DOIs
Publication statusPublished - Mar 2006
Externally publishedYes

Fingerprint

Antennas
Channel state information
Transmitters
Communication systems
Statistics

Keywords

  • Antenna selection
  • Channel capacity
  • Correlated channels
  • Multiple-input multiple-output (MIMO) systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels. / Dai, Lin; Sfar, Sana; Letaief, Khaled.

In: IEEE Transactions on Communications, Vol. 54, No. 3, 03.2006, p. 563-573.

Research output: Contribution to journalArticle

@article{fc8ecf30d7514fc88308f363a8d402d8,
title = "Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels",
abstract = "Recent work has shown that multiple-input multiple-output (MIMO) systems with multiple antennas at both the transmitter and receiver are able to achieve great capacity improvement. In such systems, it is desirable to select a subset of the available antennas so as to reduce the number of radio frequency (RF) chains. This paper addresses the problem of antenna selection in correlated channels. We consider a narrowband communication system with M transmit and N receive antennas. We present the criterion for selecting the optimal Ltout of M transmit and Lr out of N receive antennas in terms of capacity maximization, assuming that only the long-term channel statistics, instead of the instantaneous channel-state information, are known. Simulations will be used to validate our theoretical analysis and demonstrate that the number of required RF chains can be significantly decreased using our proposed selection strategy, while achieving even better performance than the conventional MIMO system without antenna selection.",
keywords = "Antenna selection, Channel capacity, Correlated channels, Multiple-input multiple-output (MIMO) systems",
author = "Lin Dai and Sana Sfar and Khaled Letaief",
year = "2006",
month = "3",
doi = "10.1109/TCOMM.2006.869778",
language = "English",
volume = "54",
pages = "563--573",
journal = "IEEE Transactions on Communications",
issn = "0096-1965",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels

AU - Dai, Lin

AU - Sfar, Sana

AU - Letaief, Khaled

PY - 2006/3

Y1 - 2006/3

N2 - Recent work has shown that multiple-input multiple-output (MIMO) systems with multiple antennas at both the transmitter and receiver are able to achieve great capacity improvement. In such systems, it is desirable to select a subset of the available antennas so as to reduce the number of radio frequency (RF) chains. This paper addresses the problem of antenna selection in correlated channels. We consider a narrowband communication system with M transmit and N receive antennas. We present the criterion for selecting the optimal Ltout of M transmit and Lr out of N receive antennas in terms of capacity maximization, assuming that only the long-term channel statistics, instead of the instantaneous channel-state information, are known. Simulations will be used to validate our theoretical analysis and demonstrate that the number of required RF chains can be significantly decreased using our proposed selection strategy, while achieving even better performance than the conventional MIMO system without antenna selection.

AB - Recent work has shown that multiple-input multiple-output (MIMO) systems with multiple antennas at both the transmitter and receiver are able to achieve great capacity improvement. In such systems, it is desirable to select a subset of the available antennas so as to reduce the number of radio frequency (RF) chains. This paper addresses the problem of antenna selection in correlated channels. We consider a narrowband communication system with M transmit and N receive antennas. We present the criterion for selecting the optimal Ltout of M transmit and Lr out of N receive antennas in terms of capacity maximization, assuming that only the long-term channel statistics, instead of the instantaneous channel-state information, are known. Simulations will be used to validate our theoretical analysis and demonstrate that the number of required RF chains can be significantly decreased using our proposed selection strategy, while achieving even better performance than the conventional MIMO system without antenna selection.

KW - Antenna selection

KW - Channel capacity

KW - Correlated channels

KW - Multiple-input multiple-output (MIMO) systems

UR - http://www.scopus.com/inward/record.url?scp=33645013293&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645013293&partnerID=8YFLogxK

U2 - 10.1109/TCOMM.2006.869778

DO - 10.1109/TCOMM.2006.869778

M3 - Article

VL - 54

SP - 563

EP - 573

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0096-1965

IS - 3

ER -