Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation
| dc.creator | KISANGIRI, Michael | |
| dc.creator | KAZEMA, Twahir | |
| dc.date | 2022-02-21T07:58:58Z | |
| dc.date | 2022-02-21T07:58:58Z | |
| dc.date | 2019 | |
| dc.date.accessioned | 2022-04-05T08:21:38Z | |
| dc.date.available | 2022-04-05T08:21:38Z | |
| 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.identifier | 2225-658X | |
| dc.identifier | http://41.93.33.43:8080/xmlui/handle/123456789/650 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/78283 | |
| dc.language | en | |
| dc.publisher | The Society of Digital Information and Wireless Communications | |
| dc.subject | Evolutionary Computation | |
| dc.title | Development of an Algorithm for Optimizing Array Antenna Elements for Cellular Networks Using Evolutionary Computation |