Optimal placement of mobile antenna in an urban area using evolutionary multiobjective optimization

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...

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Bibliographic Details
Main Authors: Narayanan, Lakshiminarasimman, Subramanian, Baskar, Iruthayarajan, M. Willjuice, Arokiaswami, Alphones
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/102037
http://hdl.handle.net/10220/11170

Internet

https://hdl.handle.net/10356/102037
http://hdl.handle.net/10220/11170

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