Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation

dc.creatorKazema, Twahir
dc.creatorMichael, Kisangiri
dc.date2021-09-23T12:41:48Z
dc.date2021-09-23T12:41:48Z
dc.date2019-06
dc.date.accessioned2022-10-25T09:15:45Z
dc.date.available2022-10-25T09:15:45Z
dc.descriptionThis research article published by International Journal of Digital Information and Wireless Communications, Vol. 9, No. 2, 2019
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.identifierhttp://dx.doi.org/10.17781/P002601
dc.identifierhttps://dspace.nm-aist.ac.tz/handle/20.500.12479/1334
dc.identifier.urihttp://hdl.handle.net/123456789/94580
dc.languageen
dc.publisherInternational Journal of Digital Information and Wireless Communications
dc.subjectResearch Subject Categories::MATHEMATICS
dc.titleDevelopment of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation
dc.typeArticle

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