A differential evolution-based algorithm for calculating beamformers in MIMO systems

Calculating the beamformers and combiners in multiple-input multiple-output (MIMO) wireless telecommunication systems is an important research issue. This calculation is significant because helps to analyze the overall system performance. Several authors proposed different algorithms for this proces...

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Bibliographic Details
Published inIberian Conference on Information Systems and Technologies (Print) pp. 1 - 5
Main Authors Jimenez, Samantha P., Maciel, Fermin M., Soriano-Equigua, Leonel, Castillo, Victor H., Alvarez, Jose Luis
Format Conference Proceeding
LanguageEnglish
Spanish
Published AISTI 01.06.2015
Subjects
coordinated beamforming
diferential evolution
evolutive computing
Interference
Irrigation
MATLAB
MIMO
MIMO systems
Signal to noise ratio
System performance
Telecommunications
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ISSN2166-0727
DOI10.1109/CISTI.2015.7170429

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Summary:Calculating the beamformers and combiners in multiple-input multiple-output (MIMO) wireless telecommunication systems is an important research issue. This calculation is significant because helps to analyze the overall system performance. Several authors proposed different algorithms for this process. However, these algorithms require a great number of iterations for converging. Considering reduction in the algorithm convergence time, evolutionary computing strategies focus on the optimization of processes. An approach of evolutionary computing is the differential evolution. In order to improve performance in MIMO telecommunication systems, this work proposes a differential evolution-based algorithm for calculating beamformers. The experiment results show that, under the studied scenario, the proposed algorithm improves the convergence time and the overall system performance.
ISSN:2166-0727
DOI:10.1109/CISTI.2015.7170429