2008
DOI: 10.1515/freq.2008.62.1-2.12
|View full text |Cite
|
Sign up to set email alerts
|

Sector Synthesis of Antenna Array Using Genetic Algorithm

Abstract: This paper introduces a new application of genetic algorithm (GA) in dynamic sector synthesis of antenna array for mobile base transceiver station (BTS). The basic objective is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density. By predefining the beam widths and thus the beams of each sector, optimal sectoring can be achieved using GA at different time of the day as traffic changes. The proposed algorithm consists of the simple GA with new adaptive mutati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…Abdelaziz et al [9] introduced the application of genetic algorithm in dynamic sector synthesis of antenna array for mobile transceiver station. The aim is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density.…”
Section: Introductionmentioning
confidence: 99%
“…Abdelaziz et al [9] introduced the application of genetic algorithm in dynamic sector synthesis of antenna array for mobile transceiver station. The aim is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density.…”
Section: Introductionmentioning
confidence: 99%
“…The genetic algorithm has been widely used in antenna design and produces lots of new antenna designs [1][2][3][4][5][6][7][8][9][10], such as the famous NASA's genetic antenna. However, the genetic algorithm starts with a large random population, takes a lot of time for each generation to be completed, even at the beginning of the algorithm may take a lot of time to converge.…”
Section: Introductionmentioning
confidence: 99%