Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation
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The discussion on a number of important issues and the state-of-the-art development of the model for optimizing antenna array element was done. An optimal radiation pattern as well as minimum side lobes levels were obtained for a rectangular antenna array using the hybridization of particle swarm and genetic algorithm optimization technique. A set of normalized complex and phase shift weights were generated by the developed optimization algorithm and the bound constrained fitness function that allows the optimization for non-uniform element spacing was presented. A comparison between the un-optimized pattern and the one optimized for minimization of SLL using the model developed in this research was also presented, the results show that the latter achieves a better and more consistent radiation pattern as well as non-complexity flow of the developed model itself. Lastly the study proposed multi-beam antenna architecture for multi-RAT (Radio Access Technology) interworking which is key enabling technology for 5G vision.