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Title:
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SELF-LEARNING CHANNEL ASSIGNMENT SCHEME FOR CELLULAR NETWORKS |
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Author(s):
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Mohammad M. Assaf , Muhammed Salamah |
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ISBN:
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972-8939-03-5 |
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Editors:
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Pedro Isaías, Piet Kommers and Maggie McPherson |
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Year:
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2005 |
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Edition:
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Single |
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Keywords:
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Channel assignment, cellular network, genetic algorithms, blocking probability. |
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Type:
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Short Paper |
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First Page:
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630 |
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Last Page:
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635 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes a new dynamic channel assignment scheme for cellular networks. The scheme optimizes the distribution of channels over the cells of a cluster in a cellular network. The scheme uses both recent traffic load information of cells to decide on the number of channels for each cell, and elitist model of genetic algorithm (EGA) to find an optimal order of channels over the cells. Simulation results show considerable improvements in terms of channel utilization and call blocking probability. |
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