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Optimization Of Capacity Of MIMO Antenna Based Wireless System Using Genetic Algorithm?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)

Publication Date:

Authors : ; ;

Page : 1136-1142

Keywords : MIMO; Antenna; Genetic Optimization;

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In this work, at the earlier stage, the signal formation and the initial antenna array setup is considered as the input population set to the Genetic process. The genetic process is defined for N number of iterations. With each iteration, the two parent configurations are selected under the fitness rule specification. The fitness rule is defined to analyze the channel capacity under antenna configuration. To perform the selection, Rank selection approach is defined in this work. After the selection of parent configuration, the child configuration is generated by performing the crossover operation. To generate the child one point crossover is defined in this work. At the final stage, the mutation function is implemented over it. The genetic process is defined to identify the identical antenna configuration will be achieved and the effective channel throughput will be drawn. The presented work is implemented in Matlab environment.

Last modified: 2014-05-31 18:15:20