| 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.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.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.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 |
|