A permutation-coded evolutionary strategy for multi-objective Global System for Mobile communications (GSM) network planning

A permutation-coded evolutionary strategy for multi-objective Global System for Mobile communications (GSM) network planning

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Article ID: iaor2009607
Country: Netherlands
Volume: 14
Issue: 1
Start Page Number: 1
End Page Number: 21
Publication Date: Feb 2008
Journal: Journal of Heuristics
Authors:
Keywords: location
Abstract:

The base station placement problem, with n potential candidate sites is NP-Hard with 2n solutions. When dimensioned on m unknown variable settings (e.g., number of power settings + number of tilt settings, etc.) the computational complexity becomes (m+1)n. We introduce a novel approach to reduce the computational complexity by dimensioning sites only once to guarantee traffic hold requirements are satisfied. This approach works by determining the maximum set of service test points candidate sites can handle without exceeding a hard traffic constraint, TMAX.

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