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.

Genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems / Sacchi, Claudio; D'Orazio, Leandro; Donelli, Massimo; De Natale, Francesco G. B. - ELETTRONICO. - (2006), pp. 1-16.

Genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems

Sacchi, Claudio;D'Orazio, Leandro;Donelli, Massimo;
2006-01-01

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.
2006
Trento
Università degli Studi di Trento - Dipartimento di Informatica e Telecomunicazioni
Genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems / Sacchi, Claudio; D'Orazio, Leandro; Donelli, Massimo; De Natale, Francesco G. B. - ELETTRONICO. - (2006), pp. 1-16.
Sacchi, Claudio; D'Orazio, Leandro; Donelli, Massimo; De Natale, Francesco G. B
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358022
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