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Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 10)

Publication Date:

Authors : ; ;

Page : 932-943

Keywords : Genetic Algorithm (GA); Fixed Channel Assignment (FCA) Base Station (BS); Switching Center (MSC); Dynamic Channel Assignment (DCA); Space Division Multiplexing (SDM);

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Wireless technology development is basically because of transformation of what has been largely a medium for supporting voice telephony into a medium for supporting other services, such as the transmission of video, images, text, and data. Thus, the demand for new wireless capacity is growing at a very rapid pace. Although there are, of course, still a great many technical problems to be solved in wireline communications. The traditional resources that have been used to add capacity to wireless systems are radio bandwidth and transmitter power. Unfortunately, these two resources are among the most severely limited in the deployment of modern wireless networks: radio bandwidth because of the very tight situation with regard to useful radio spectrum, and transmitter power because mobile and other portable services require the use of battery power, which is limited. These two resources are simply not growing or improving at rates that can support anticipated demands for wireless capacity. For efficient utilization of the radio spectrum, a frequency reuse scheme that is consistent with the objectives of increasing capacity and minimizing interference is required. Allocation of channels to a cellular system is important from a performance point of view. The allocation of a set of channels to each base station during the planning process i.e. Frequency Planning Process is a NP-complete optimization problem with constraints for which different approached have been proposed. Examples: Various attempts via graph coloring algorithms, neural networks, set theory and other methods via simulated annealing algorithms have been proposed to solve this problem. However, this paper is to solve the channel assignment problem in wireless network using a Genetic Algorithm. The general purpose Simple Genetic Algorithm has been proved to cope up with varied channel demands in different wireless networks.

Last modified: 2014-11-05 19:16:44