1. Optimal placement of mobile antenna in an urban area using evolutionary multiobjective optimization
- Author
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Alphones Arokiaswami, M. Willjuice Iruthayarajan, Lakshiminarasimman Narayanan, Baskar Subramanian, and School of Electrical and Electronic Engineering
- Subjects
Engineering ,geography ,Mathematical optimization ,geography.geographical_feature_category ,business.industry ,Mobile antennas ,Condensed Matter Physics ,Urban area ,Multi-objective optimization ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Power (physics) ,Handover ,Engineering::Electrical and electronic engineering [DRNTU] ,Path loss ,Electrical and Electronic Engineering ,business - Abstract
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 and cost where as the inequality constraints are handover, traffic demand, and overlap. Modified NSGA-II (MNSGA-II) is preferred to improve the non dominated solutions. A detailed study is performed about physical and geometrical structure of propagation environment. Four different case studies are performed. The simulation results reveal that Hata–Okumura path loss model is more suited. MNSGA-II is able to determine optimal MA parameters for multiobjective case studies. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:737–743, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26627
- Published
- 2012