Ian B. Haya, Brent R. Petersen and Bruce G. Colpitts, "Optimum 2-D LOS MIMO performance using omni-directional antennas attained through genetic algorithms," in Proceedings of the 6th Annual Communications Networks and Services Research Conference (CNSR 2008), vol. 1, (Halifax, NS, Canada), pp. 331-338, May 5-8, 2008.


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.


This research was funded by a Post-graduate Scholarship from the Natural Sciences and Engineering Research Council, by the Atlantic Innovation Fund from the Atlantic Canada Opportunities Agency,and by Bell Aliant, our industrial partner.


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