DYNAMIC CHANNEL ALLOCATION AND REVENUE BASED CALL ADMISSION CONTROL USING GENETIC ALGORITHM

The increasing demand for advanced services in cellular networks such as data and video raises the problem of efficient bandwidth management in terms of channel availability. Dynamic channel allocation strategies is for supporting data (e.g. file transfer) and video (video viewing, video conference) with Quality of Service (QoS) by using the parameters such as call handoff probability and call blocking probability. In this paper, Dynamic Channel Allocation (DCA) is used to avoid traffic modeling for Audio/videoconferences. Call Admission Control (CAC) mechanism which makes decisions on the possible acceptance of a video call into the network is not only based on the fulfillment of user's bandwidth prediction, but also it based on the revenue that the provider will make when degrading current users in order to accommodate new ones. Genetic algorithm is an optimization tool, by this optimization tool we can find out the best match. Genetic algorithm is used for time management and for predicting accurate result. Provide high

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