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Title: A genetic algorithm approach to user location estimation in UMTS networks
Authors: Magro, Manuel J.
Debono, Carl James
Keywords: Genetic algorithms
Universal Mobile Telecommunications System
Wireless localization
Issue Date: 2007
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Magro, M. J., & Debono, C. J. (2007). A genetic algorithm approach to user location estimation in UMTS networks. EUROCON 2007 - The International Conference on "Computer as a Tool", Warsaw. 1136-1139.
Abstract: An innovative solution to user location estimation in 3G networks is presented. The proposed solution uses network information such as Cell-ID and transmitted signal strength, which are easily captured by current 3G mobile handsets, as input to a location detection algorithm which searches the whole network coverage area for the most probable point of origin. This search is performed within a software model of the radio network, which faithfully replicates the provider's live network. The algorithm was optimized through the application of a genetic algorithm to provide an estimate of the user's location in quasi real-time. Simulation results demonstrate that allowing for a 450 m error, the algorithm is capable of locating the user's position in 72% of the cases within an urban environment.
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