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Optimum 2-D LOS MIMO Performance Using Omni-directional Antennas Attained through Genetic Algorithms

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3 Author(s)
Haya, I.B. ; Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB ; Petersen, B.R. ; Colpitts, B.G.

The application of genetic algorithm (GA) optimization has been proven to be highly successful in the area of nonlinear optimizations. For a multiple-input, multiple-output (MIMO) wireless communication system, the optimum performance of the users with respect to the arrangement of antennas is a highly non-linear function which a genetic algorithm seems highly suited to. In this paper, a four-by-four MIMO system model is considered using a simplified 2-D LOS radio channel with additive white noise. Placing the users in a known arrangement, the optimum placement of the four antennas is determined through a genetic algorithm optimization using the average MSE of the four users as the fitness function. Initial results show a tendency towards an arrangement in which at least two antennas seen by the all transmitters are separated by a symbol wavelength.

Published in:

Communication Networks and Services Research Conference, 2008. CNSR 2008. 6th Annual

Date of Conference:

5-8 May 2008

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