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

Antenna-Diversity-Assisted Genetic-Algorithm-Based Multiuser Detection Schemes for Synchronous CDMA Systems
Antenna-Diversity-Assisted Genetic-Algorithm-Based Multiuser Detection Schemes for Synchronous CDMA Systems
A spatial diversity reception assisted multiuser code-division multiple-access detector based on genetic algorithms (GAs) is proposed. Two different GA-based individual-selection strategies are considered. In our first approach, the so-called individuals of the GA are selected for further exploitation, based purely on the sum of their corresponding figures of merit evaluated for the individual antennas. According to our second strategy, the GA’s individuals are selected 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 a lower bit-error rate as compared to the former strategy. For a 15-user GA-assisted system employing a spreading factor of 31, a complexity reduction factor of 81 was achieved at a performance identical to that of the optimum multiuser detector using full search. Index Terms—Antenna diversity, genetic algorithms, multiuser detection, synchronous code-division multiple access (CDMA).
366-370
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. (2003) Antenna-Diversity-Assisted Genetic-Algorithm-Based Multiuser Detection Schemes for Synchronous CDMA Systems. IEEE Transactions on Communications, 51 (3), 366-370.

Record type: Article

Abstract

A spatial diversity reception assisted multiuser code-division multiple-access detector based on genetic algorithms (GAs) is proposed. Two different GA-based individual-selection strategies are considered. In our first approach, the so-called individuals of the GA are selected for further exploitation, based purely on the sum of their corresponding figures of merit evaluated for the individual antennas. According to our second strategy, the GA’s individuals are selected 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 a lower bit-error rate as compared to the former strategy. For a 15-user GA-assisted system employing a spreading factor of 31, a complexity reduction factor of 81 was achieved at a performance identical to that of the optimum multiuser detector using full search. Index Terms—Antenna diversity, genetic algorithms, multiuser detection, synchronous code-division multiple access (CDMA).

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Published date: March 2003
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258399
URI: http://eprints.soton.ac.uk/id/eprint/258399
PURE UUID: f436e90e-2dc8-4cd9-8cf4-673cb0a86a07
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 24 Oct 2003
Last modified: 17 Dec 2019 02:03

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