DocumentCode
1699916
Title
GSM Automatic Frequency Planning with the Aid of Genetic Algorithms
Author
Amro, Iyad ; Ghanem, Wasel
Author_Institution
Fac. of Inf. Technol., Birzeit Univ., Birzeit, Palestinian Authority
fYear
2011
Firstpage
73
Lastpage
76
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.
Keywords
cellular radio; encoding; genetic algorithms; radiofrequency interference; GSM automatic frequency planning; alphabetical encoding; genetic algorithms; mobile allocated spectrum; mobile services; optimum frequency allocation; system parameters; GSM; Genetic algorithms; Heuristic algorithms; Interchannel interference; Radio spectrum management; Sorting; Evloutionary Algorithm; GSM; Genetic Algorithm (GA); SDCCH; TCH; crossover; mutation;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.26
Filename
6042721
Link To Document