Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation
dc.creator | Kazema, Twahir | |
dc.creator | Michael, Kisangiri | |
dc.date | 2021-09-23T12:41:48Z | |
dc.date | 2021-09-23T12:41:48Z | |
dc.date | 2019-06 | |
dc.date.accessioned | 2022-10-25T09:15:45Z | |
dc.date.available | 2022-10-25T09:15:45Z | |
dc.description | This research article published by International Journal of Digital Information and Wireless Communications, Vol. 9, No. 2, 2019 | |
dc.description | 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. | |
dc.format | application/pdf | |
dc.identifier | http://dx.doi.org/10.17781/P002601 | |
dc.identifier | https://dspace.nm-aist.ac.tz/handle/20.500.12479/1334 | |
dc.identifier.uri | http://hdl.handle.net/123456789/94580 | |
dc.language | en | |
dc.publisher | International Journal of Digital Information and Wireless Communications | |
dc.subject | Research Subject Categories::MATHEMATICS | |
dc.title | Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation | |
dc.type | Article |