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Genetic optimization of radiobase-station sizing and location using a GIS-based framework: experimental validation

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4 Author(s)
B. Di Chiara ; D.I.I., Lecce Univ., Italy ; R. Sorrentino ; M. Strappini ; L. Tarricone

The continuous increase in the complexity of mobile networks, as well as in the requirement of quality-of-service, render the development of an automatic tool for optimum siting and sizing of radiobase stations an urgent task. A framework allowing the integration of geographical information, radiopropagation models, and efficient optimization methods, is proposed as candidate solution: more specifically, a Geographical Information System (GIS) framework inside which a wide variety of radiopropagation models dynamically interact with a novel binary-coded genetic optimizer using multiple cost functions. Results on real cases, such as GSM subnetworks in Umbria region, demonstrate the affordability and reliability of the system. reducing power levels and improving network coverage and quality-of-service.

Published in:

Antennas and Propagation Society International Symposium, 2003. IEEE  (Volume:2 )

Date of Conference:

22-27 June 2003