Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation
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The Society of Digital Information and Wireless Communications
Abstract
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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.
Keywords
Evolutionary Computation