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Genetic algorithm assisted Joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems

Genetic algorithm assisted Joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems
Genetic algorithm assisted Joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems
A novel multiuser code division multiple access (CDMA) receiver based on genetic algorithms is considered, which jointly estimates the transmitted symbols and fading channel coefficients of all the users. Using exhaustive search, the maximum likelihood (ML) receiver in synchronous CDMA systems has a computational complexity that is exponentially increasing with the number of users and, hence, is not a viable detection solution. Genetic algorithms (GAs) are well known for their robustness in solving complex optimization problems. Based on the ML rule, GAs are developed in order to jointly estimate the users' channel impulse response coefficients as well as the differentially encoded transmitted bit sequences on the basis of the statistics provided by a bank of matched filters at the receiver. Using computer simulations, we showed that the proposed receiver can achieve a near-optimum bit-error-rate (BER) performance upon assuming perfect channel estimation at a significantly lower computational complexity than that required by the ML optimum multiuser detector. Furthermore, channel estimation can be performed jointly with symbol detection without incurring any additional computational complexity and without requiring training symbols. Hence, our proposed joint channel estimator and symbol detector is capable of offering a higher throughput and a shorter detection delay than that of explicitly trained CDMA multiuser detectors.
985-998
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 assisted Joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems. IEEE Journal on Selected Areas in Communications, 19 (6), 985-998. (doi:10.1109/49.926355).

Record type: Article

Abstract

A novel multiuser code division multiple access (CDMA) receiver based on genetic algorithms is considered, which jointly estimates the transmitted symbols and fading channel coefficients of all the users. Using exhaustive search, the maximum likelihood (ML) receiver in synchronous CDMA systems has a computational complexity that is exponentially increasing with the number of users and, hence, is not a viable detection solution. Genetic algorithms (GAs) are well known for their robustness in solving complex optimization problems. Based on the ML rule, GAs are developed in order to jointly estimate the users' channel impulse response coefficients as well as the differentially encoded transmitted bit sequences on the basis of the statistics provided by a bank of matched filters at the receiver. Using computer simulations, we showed that the proposed receiver can achieve a near-optimum bit-error-rate (BER) performance upon assuming perfect channel estimation at a significantly lower computational complexity than that required by the ML optimum multiuser detector. Furthermore, channel estimation can be performed jointly with symbol detection without incurring any additional computational complexity and without requiring training symbols. Hence, our proposed joint channel estimator and symbol detector is capable of offering a higher throughput and a shorter detection delay than that of explicitly trained CDMA multiuser detectors.

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Published date: June 2001
Organisations: Southampton Wireless Group

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Local EPrints ID: 255965
URI: http://eprints.soton.ac.uk/id/eprint/255965
PURE UUID: a3e2a46e-07ee-4391-aff0-985d060c7e1c
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 08 Jan 2004
Last modified: 28 May 2020 00:24

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Contributors

Author: K. Yen
Author: L. Hanzo ORCID iD

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