Optimal diversity-multiplexing tradeoff with group detection for MIMO systems

Sana Sfar, Lin Dai, Khaled Letaief

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

It is well known that multiple-input multiple-output (MIMO) systems provide two types of gains: diversity gains and spatial multiplexing gains. Recently, a tradeoff function of these two gains has been derived for a point-to-point MIMO system when optimal detection is used. In this paper, we extend the previous work to a more general MIMO system, where the transmitted data is coded in groups. Group detection is applied at the receiver to retrieve the data. It consists of a zero-forcing decorrelation that separates the groups, followed by a joint detection for each of the groups. Two receiver structures are considered in this paper; namely, group zero forcing (GZF) and group successive interference cancellation (GSIC). We assess the diversity-multiplexing tradeoff function of each of these receivers over a richly scattered Rayleigh fading channel. Three rate-allocation algorithms will be considered here; namely, equal rate, group-size proportional rate, and optimal-rate allocation. An explicit expression of the system tradeoff will be derived for both receivers with these three rate allocations. The obtained results will first be optimized over all possible group partitions for a given number of groups. Next, the number of groups will be varied to further optimize the system-tradeoff performance. An overall optimum tradeoff for a general MIMO system with group detection will then be obtained. Numerical results will indicate that optimum performance can be approached with very-low-complexity schemes for a wide range of data rates. It will be also demonstrated that group detection bridges the gap between the traditional decorrelator and the optimal receiver tradeoff performances.

Original languageEnglish
Pages (from-to)1178-1190
Number of pages13
JournalIEEE Transactions on Communications
Volume53
Issue number7
DOIs
Publication statusPublished - Jul 2005
Externally publishedYes

Fingerprint

Multiplexing
Optimal systems
Rayleigh fading
Fading channels

Keywords

  • Channel capacity
  • Channel multivariate statistics distribution
  • Diversity-multiplexing tradeoff
  • Group detection
  • Multiple-input multiple-output (MIMO) systems
  • Rate allocation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Optimal diversity-multiplexing tradeoff with group detection for MIMO systems. / Sfar, Sana; Dai, Lin; Letaief, Khaled.

In: IEEE Transactions on Communications, Vol. 53, No. 7, 07.2005, p. 1178-1190.

Research output: Contribution to journalArticle

@article{de1f7dfa9a4b4bd495d0e0e79a485b3a,
title = "Optimal diversity-multiplexing tradeoff with group detection for MIMO systems",
abstract = "It is well known that multiple-input multiple-output (MIMO) systems provide two types of gains: diversity gains and spatial multiplexing gains. Recently, a tradeoff function of these two gains has been derived for a point-to-point MIMO system when optimal detection is used. In this paper, we extend the previous work to a more general MIMO system, where the transmitted data is coded in groups. Group detection is applied at the receiver to retrieve the data. It consists of a zero-forcing decorrelation that separates the groups, followed by a joint detection for each of the groups. Two receiver structures are considered in this paper; namely, group zero forcing (GZF) and group successive interference cancellation (GSIC). We assess the diversity-multiplexing tradeoff function of each of these receivers over a richly scattered Rayleigh fading channel. Three rate-allocation algorithms will be considered here; namely, equal rate, group-size proportional rate, and optimal-rate allocation. An explicit expression of the system tradeoff will be derived for both receivers with these three rate allocations. The obtained results will first be optimized over all possible group partitions for a given number of groups. Next, the number of groups will be varied to further optimize the system-tradeoff performance. An overall optimum tradeoff for a general MIMO system with group detection will then be obtained. Numerical results will indicate that optimum performance can be approached with very-low-complexity schemes for a wide range of data rates. It will be also demonstrated that group detection bridges the gap between the traditional decorrelator and the optimal receiver tradeoff performances.",
keywords = "Channel capacity, Channel multivariate statistics distribution, Diversity-multiplexing tradeoff, Group detection, Multiple-input multiple-output (MIMO) systems, Rate allocation",
author = "Sana Sfar and Lin Dai and Khaled Letaief",
year = "2005",
month = "7",
doi = "10.1109/TCOMM.2005.851596",
language = "English",
volume = "53",
pages = "1178--1190",
journal = "IEEE Transactions on Communications",
issn = "0096-1965",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

TY - JOUR

T1 - Optimal diversity-multiplexing tradeoff with group detection for MIMO systems

AU - Sfar, Sana

AU - Dai, Lin

AU - Letaief, Khaled

PY - 2005/7

Y1 - 2005/7

N2 - It is well known that multiple-input multiple-output (MIMO) systems provide two types of gains: diversity gains and spatial multiplexing gains. Recently, a tradeoff function of these two gains has been derived for a point-to-point MIMO system when optimal detection is used. In this paper, we extend the previous work to a more general MIMO system, where the transmitted data is coded in groups. Group detection is applied at the receiver to retrieve the data. It consists of a zero-forcing decorrelation that separates the groups, followed by a joint detection for each of the groups. Two receiver structures are considered in this paper; namely, group zero forcing (GZF) and group successive interference cancellation (GSIC). We assess the diversity-multiplexing tradeoff function of each of these receivers over a richly scattered Rayleigh fading channel. Three rate-allocation algorithms will be considered here; namely, equal rate, group-size proportional rate, and optimal-rate allocation. An explicit expression of the system tradeoff will be derived for both receivers with these three rate allocations. The obtained results will first be optimized over all possible group partitions for a given number of groups. Next, the number of groups will be varied to further optimize the system-tradeoff performance. An overall optimum tradeoff for a general MIMO system with group detection will then be obtained. Numerical results will indicate that optimum performance can be approached with very-low-complexity schemes for a wide range of data rates. It will be also demonstrated that group detection bridges the gap between the traditional decorrelator and the optimal receiver tradeoff performances.

AB - It is well known that multiple-input multiple-output (MIMO) systems provide two types of gains: diversity gains and spatial multiplexing gains. Recently, a tradeoff function of these two gains has been derived for a point-to-point MIMO system when optimal detection is used. In this paper, we extend the previous work to a more general MIMO system, where the transmitted data is coded in groups. Group detection is applied at the receiver to retrieve the data. It consists of a zero-forcing decorrelation that separates the groups, followed by a joint detection for each of the groups. Two receiver structures are considered in this paper; namely, group zero forcing (GZF) and group successive interference cancellation (GSIC). We assess the diversity-multiplexing tradeoff function of each of these receivers over a richly scattered Rayleigh fading channel. Three rate-allocation algorithms will be considered here; namely, equal rate, group-size proportional rate, and optimal-rate allocation. An explicit expression of the system tradeoff will be derived for both receivers with these three rate allocations. The obtained results will first be optimized over all possible group partitions for a given number of groups. Next, the number of groups will be varied to further optimize the system-tradeoff performance. An overall optimum tradeoff for a general MIMO system with group detection will then be obtained. Numerical results will indicate that optimum performance can be approached with very-low-complexity schemes for a wide range of data rates. It will be also demonstrated that group detection bridges the gap between the traditional decorrelator and the optimal receiver tradeoff performances.

KW - Channel capacity

KW - Channel multivariate statistics distribution

KW - Diversity-multiplexing tradeoff

KW - Group detection

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

KW - Rate allocation

UR - http://www.scopus.com/inward/record.url?scp=23844505924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=23844505924&partnerID=8YFLogxK

U2 - 10.1109/TCOMM.2005.851596

DO - 10.1109/TCOMM.2005.851596

M3 - Article

VL - 53

SP - 1178

EP - 1190

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0096-1965

IS - 7

ER -