| 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.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.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.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 |
|