A Novel Fast Semi-Analytical Performance Prediction Method for Iterative MMSE-IC Multiuser MIMO Joint Decoding

Author

Visoz, Raphaël ; Berthet, Antoine O. ; Lalam, Massinissa

Author_Institution

Orange Labs., Issy-les-Moulineaux

fYear

2008

Firstpage

1

Lastpage

5

Abstract

This paper presents a novel fast performance prediction method for iterative minimum-mean square error interference cancellation based joint decoding in a very general multiuser MIMO setting considering a transmission over block-fading frequency-selective channels. A Gaussian approximation is made for all propagated messages between the outer codes and the space-time multiuser detector. The method relies on a signal-to-interference-plus-noise ratio compression, by means of the mutual information effective signal-to-noise metric (MIESM), which allows a one-dimensional AWGN look-up table to capture the soft decoding result of each distinct user. Simulations show that this method while being extremely simple and fast keeps very accurate and is thus adequate for radio resource management and link adaptation purposes.

Keywords

AWGN channels; MIMO communication; block codes; fading channels; interference suppression; iterative decoding; least mean squares methods; multiuser detection; space-time codes; table lookup; telecommunication network management; AWGN look-up table; Gaussian approximation; block-fading frequency-selective channel; interference cancellation; iterative MMSE-IC method; minimum mean square error method; multiple-input multiple-output system; multiuser MIMO joint decoding; radio resource management; semi analytical performance prediction method; space-time multiuser detector; AWGN; Detectors; Frequency; Gaussian approximation; Interference cancellation; Iterative decoding; Iterative methods; MIMO; Mutual information; Prediction methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE

Conference_Location

New Orleans, LO

ISSN

1930-529X

Print_ISBN

978-1-4244-2324-8

Type

conf

DOI

10.1109/GLOCOM.2008.ECP.213

Filename

4697988