relation: http://www.eledia.org/students-reports/400/
title: Genetic Algorithm-assisted Maximum-Likelihood Multi-user Detection for Multi-Rate MC-CDMA Systems
creator: Sacchi, Claudio
creator: D'Orazio, Leandro
creator: Donelli, Massimo
creator: Fedrizzi, Riccardo
creator: Massa, Andrea
subject: TU Technical Reports and Publications
description: In this letter , the use of Genetic Algorithms (GAs) has been investigated in order to implement a computationally tractable Multi-User Detection (MUD) for synchronous multi-rate Multi-Carrier-Code-Division-Multiple-Access (MR MC-CDMA) systems. It is known that MC-CDMA performances can be seriously limited by multi-user interference. This is particularly true in the case of multi-rate systems where some users could exploit a reduced diversity against multipath channel distortions. The use of Genetic Algorithms (GAs) is therefore proposed as a sub-optimal solution to the MUD problem in a multi-rate Variable-Spreading-Length (VSL) MC-CDMA downlink transmission. A set of selected numerical experiments have been reported and discussed in order to assess the capability of the proposed GA-based approach. The reported results, obtained with an affordable computational burden, have shown a near-optimum behavior of the proposed GA-based MUD.
date: 2007-03
type: Technical Report
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/400/1/DIT-07-008.pdf
identifier:   Sacchi, Claudio and D'Orazio, Leandro and Donelli, Massimo and Fedrizzi, Riccardo and Massa, Andrea  (2007) Genetic Algorithm-assisted Maximum-Likelihood Multi-user Detection for Multi-Rate MC-CDMA Systems.  [Technical Report]    (Submitted)