Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/7036
Title: Allocation of Channels in Wireless Cellular System Using Hybrid Genetic Algorithm and Simulated Annealing
Authors: Ravi Shankar Mishra
Aizaz Tirmizi
Issue Date: 2012
Publisher: Anusandhan Science Technology and Management Journal of Aisect University
Abstract: With the limited frequ ency spectrum, the channel assignment problem (CAP) i. e., to assign the calls to the available channels so that the interference is minimized while the demand is met, has become increasingly important. In this paper a hybrid technique of Genetic Algorithm and Simulated Annealing (HGASA) is applied for dynamic channel allocation. With this hybrid algorithm effort is made to reduce the search complexity of channel allocation while satisfying constraints of interference. The concept of Simulated Annealing (SA) is incorporated into Genetic Algorithm (GA) in order to avoid pre-mature convergence of the strings. Experimental results show that the proposed HGASA is a better method than GA and the average call blocking probability of the system decreases.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/7036
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