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Optimal placement of mobile antenna in an urban area using evolutionary multiobjective optimization
Author(s) -
Narayanan Lakshminarasimman,
Subramanian Baskar,
Arokiaswami Alphones,
Iruthayarajan M. Willjuice
Publication year - 2012
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.26627
Subject(s) - microwave , multi objective optimization , computer science , mathematical optimization , handover , evolutionary algorithm , tilt (camera) , antenna (radio) , power (physics) , engineering , mathematics , telecommunications , physics , structural engineering , quantum mechanics
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