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Minimizing the symbol-error-rate for amplify-and-forward relaying systems using evolutionary algorithms

Ahmed, Qasim Z., Ahmed, Sajid, Alouini, Mohamed-Slim and Aissa, Sonia (2015) Minimizing the symbol-error-rate for amplify-and-forward relaying systems using evolutionary algorithms. IEEE Transactions on Communications, 63 (2). pp. 390-400. ISSN 0090-6778

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Abstract

—In this paper, a new detector is proposed for an
amplify-and-forward (AF) relaying system. The detector is designed
to minimize the symbol-error-rate (SER) of the system. The
SER surface is non-linear and may have multiple minimas, therefore,
designing an SER detector for cooperative communications
becomes an optimization problem. Evolutionary based algorithms
have the capability to find the global minima, therefore, evolutionary
algorithms such as particle swarm optimization (PSO) and
differential evolution (DE) are exploited to solve this optimization
problem. The performance of proposed detectors is compared with
the conventional detectors such as maximum likelihood (ML) and
minimum mean square error (MMSE) detector. In the simulation
results, it can be observed that the SER performance of the
proposed detectors is less than 2 dB away from the ML detector.
Significant improvement in SER performance is also observed
when comparing with the MMSE detector. The computational
complexity of the proposed detector is much less than the ML
and MMSE algorithms. Moreover, in contrast to ML and MMSE
detectors, the computational complexity of the proposed detectors
increases linearly with respect to the number of relays.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering > Systems Engineering Research Group
School of Computing and Engineering
Related URLs:
Depositing User: Qasim Ahmed
Date Deposited: 07 Jun 2017 14:23
Last Modified: 07 Jun 2017 14:23
URI: http://eprints.hud.ac.uk/id/eprint/32119

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