eprintid: 402
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/04/02
datestamp: 2006-05-09
lastmod: 2013-07-04 11:30:20
status_changed: 2013-07-04 11:30:20
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Sacchi, Claudio
creators_name: D'Orazio, Leandro
creators_name: Donelli, Massimo
creators_name: De Natale, Francesco G.B.
title: A genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems
ispublished: unpub
subjects: TU
full_text_status: public
abstract: In this work, a novel Minimum-Mean Squared-Error (MMSE) multi-user detector is proposed for MC-CDMA transmission systems working over mobile radio channels characterized by time-varying multipath fading. The proposed MUD algorithm is based on a Genetic Algorithm (GA)-assisted per-carrier MMSE criterion. The GA block works in two successive steps: a training-aided step aimed at computing the optimal receiver weights using a very short training sequence, and a decision-directed step aimed at dynamically updating the weights vector during a channel coherence period. Numerical results evidenced BER performances almost coincident with ones yielded by ideal MMSE-MUD based on the perfect knowledge of channel impulse response. The proposed GA-assisted MMSE-MUD clearly outperforms state-of-the-art adaptive MMSE receivers based on deterministic gradient algorithms, especially for high number of transmitting users.
date: 2006-05
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
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[11] M. Schwartz, “Mobile Wireless Communications” (new ed.), Cambridge Academic Press, Cambridge (MA): 2004.
citation:   Sacchi, Claudio and D'Orazio, Leandro and Donelli, Massimo and De Natale, Francesco G.B.  (2006) A genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems.  [Technical Report]    (Unpublished)  
document_url: http://www.eledia.org/students-reports/402/1/DIT-06-024.pdf