Classifier based low-complexity MIMO detection for spatial multiplexing systems

Athaudage, Chandranath R. N. and Zhang, Min and Jayalath, Dhammika and Abhayapala, Thushara D. (2008) Classifier based low-complexity MIMO detection for spatial multiplexing systems. In Proceedings Australian Communications Theory Workshop, 2008, AusCTW 2008, pages pp. 1-5, Christchurch, New Zealand.

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Abstract

Abstract—In this paper, we propose a low complexity detection scheme for MIMO systems incorporating spatial multiplexing. Optimal detection schemes such as maximum-likelihood (ML) detection of MIMO signals demands computational resources that are beyond the capabilities of most practical systems. Alternative reduced complexity MIMO detection techniques have been proposed, but the complexity of algorithmic schemes are in general much higher than that of the equalizer-based techniques, e.g. zero-forcing (ZF) or MMSE. On the other hand, equalizerbased techniques perform relatively poor in terms of error rate. In this paper, we propose a hybrid of an equalizer-based technique and an algorithmic search stage. Based on an error matric and its probability density functions for different classes of error, a particular search region is selected for the algorithmic stage. As the probability of occurrence of error classes with larger search regions is small, overall complexity of the proposed technique remains low while providing a significant improvement in the error performance.

Item Type:	Conference Paper
Status:	Published
Keywords:	MIMO, Detection
Subjects:	290000 Engineering and Technology > 291700 Communications Technologies > 291799 Communications Technologies not elsewhere classified
ID Code:	13678
Deposited By:	Jayalath, Dhammika
Deposited On:	06 June 2008
Alternative Locations:	http://dx.doi.org/10.1109/AUSCTW.2008.4460812
Copyright Owner:	Copyright 2008 IEEE
Copyright Statement:	Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.