Please use this identifier to cite or link to this item:
Title: GSM automatic frequency planning with the aid of genetic algorithms
Authors: Amro, Iyad 
Ghanem, Wasel 
Keywords: Evloutionary Algorithm;Mobile communication systems;Crossover;Cell phone services industry;Mutation;Genetic Algorithm (GA);GSM;TCH;SDCCH
Issue Date: 2011
Publisher: Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
Abstract: Due to the high demand of mobile services, and the full loading of the mobile allocated spectrum, a very tight frequency reuse schemes appeared, and high levels of interference occurred and due to the overlap of cells, which in turn made it very difficult to allocate frequencies for the different cells in the cellular system. Here in this seminar genetic algorithm was implemented as a method to get the optimum frequency allocation for such cases. Alphabetical encoding was used since the problem size and the number of cells in the scope is relatively large, an existing GSM network was used as a model to test the work. Different scenarios were applied on the genetic algorithm to tune and the system parameters and get best performing form of it for such problems
DOI: 10.1109/ICGEC.2011.26
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
GSM automatic frequency planning with the aid of genetic algorithms.pdf594.64 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Jun 27, 2024


checked on Jun 27, 2024

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.