Optimal placement of mobile antenna in an urban area using evolutionary multiobjective optimization
The optimized placements of mobile antennas (MA) in an existing high traffic urban area are identified using evolutionary multiobjective optimization algorithms (EMOA). The design parameters such as (x, y) coordinates, transmitting power, height, and tilt are considered. The objectives are coverage...
| Main Authors: | , , , |
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| Outros autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado: |
2013
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| Subjects: | |
| Acceso en liña: | https://hdl.handle.net/10356/102037 http://hdl.handle.net/10220/11170 |