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Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
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Introduction to Space-Time Wireless Communications
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Optimizing antenna configuration for MIMO systems with imperfect channel estimation
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Spectral efficiency of CDMA with random spreading
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Capacity of multiple-transmit multiple-receive antenna architectures
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Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
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On the Capacity of Radio Communication Systems with Diversity in a Rayleigh Fading Environment
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From theory to practice: an overview of MIMO space-time coded wireless systems
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Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
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In this paper, we address the problem of determining the optimum antenna configuration for a multi-input multi-output (MIMO) system at any given signal-to-noise ratio (SNR). We used two-level differential evolution (DE) algorithm that finds both an appropriate expression among a set of candidate expressions within the list of the optimization software used, and the parameter values (coefficients) belonging to the selected expression. The results of the proposed expression are compared with the results of high SNR approximation, asymptotic approach and optimum antenna number ratios. It is shown that the numerical outcomes produced by the new expression exhibit very good agreement with the optimum antenna number ratios, and this agreement is almost independent of the specific value of SNR. Copyright © 2010 John Wiley & Sons, Ltd.