Design of reduced-rank MMSE multiuser detectors using random matrix methods

Author

Li, Linbo ; Tulino, Antonia M. ; Verdú, Sergio

Author_Institution

Princeton Univ., NJ, USA

Volume

50

Issue

6

fYear

2004

fDate

6/1/2004 12:00:00 AM

Firstpage

986

Lastpage

1008

Abstract

Reduced-rank minimum mean-squared error (MMSE) multiuser detectors using asymptotic weights have been shown to reduce receiver complexity while maintaining good performance in long-sequence code-division multiple-access (CDMA) systems. In this paper, we consider the design of reduced-rank MMSE receivers in a general framework which includes fading, single and multiantenna receivers, as well as direct-sequence CDMA (DS-CDMA) and multicarrier CDMA (both uplink and downlink). In all these cases, random matrix results are used to obtain explicit expressions for the asymptotic eigenvalue moments of the interference autocorrelation matrix and for the asymptotic weights used in the reduced-rank receiver.

Keywords

code division multiple access; eigenvalues and eigenfunctions; fading channels; least mean squares methods; matrix algebra; multiuser detection; radio receivers; DS-CDMA; MMSE; asymptotic eigenvalue moment; direct-sequence CDMA; fading channel; interference autocorrelation matrix; long-sequence code-division multiple-access system; minimum mean-squared error; multiantenna receiver; multicarrier CDMA; multiuser detector; random matrix method; reduced-rank receiver; single antenna; Autocorrelation; Detectors; Downlink; Eigenvalues and eigenfunctions; Fading; Filters; Interference; Linear matrix inequalities; Multiaccess communication; Signal to noise ratio; CDMA; Code-division multiple access; MMSE; fading channels; minimum mean-squared error; multiantenna systems; multicarrier CDMA; multiuser detection; random matrix theory; receivers;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/TIT.2004.828076

Filename

1302285