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Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems

Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems
Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems
A spatial diversity reception assisted multiuser CDMA detector based on genetic algorithms (GAs) is proposed. Two different diversity selection strategies are considered. In our first approach the so-called individuals of the GA are chosen for selection based purely on the sum of their corresponding figures of merit associated with the individual antennas, an approach which is analogous to employing the conventional log-likelihood function (LLF) for diversity reception. According to our second strategy, the individuals are chosen for selection based on the concept of the so-called Pareto optimality, which uses the information from the individual antennas independently. Computer simulations showed that the GAs employing the latter strategy achieve alower BER as compared to the former approach.
1794-1798
Yen, K.
612372e4-f48b-4d17-8e9f-6dd57676d3e9
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Yen, K.
612372e4-f48b-4d17-8e9f-6dd57676d3e9
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Yen, K. and Hanzo, L. (2001) Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems. VTC'2001 (Spring), Rhodes, Greece. 06 - 09 May 2001. pp. 1794-1798 .

Record type: Conference or Workshop Item (Paper)

Abstract

A spatial diversity reception assisted multiuser CDMA detector based on genetic algorithms (GAs) is proposed. Two different diversity selection strategies are considered. In our first approach the so-called individuals of the GA are chosen for selection based purely on the sum of their corresponding figures of merit associated with the individual antennas, an approach which is analogous to employing the conventional log-likelihood function (LLF) for diversity reception. According to our second strategy, the individuals are chosen for selection based on the concept of the so-called Pareto optimality, which uses the information from the individual antennas independently. Computer simulations showed that the GAs employing the latter strategy achieve alower BER as compared to the former approach.

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More information

Published date: May 2001
Additional Information: Abstract page 212 CD Rom, Paper 531. Event Dates: 6-9 May 2001 Organisation: IEEE Address: Rhodes, Greece
Venue - Dates: VTC'2001 (Spring), Rhodes, Greece, 2001-05-06 - 2001-05-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 255913
URI: http://eprints.soton.ac.uk/id/eprint/255913
PURE UUID: 3994b36b-38b3-4e8d-b4bf-a3842e0b74c5
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 08 Jan 2004
Last modified: 20 Jul 2019 01:26

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