The cost of wireless network highly depends on the power consumption for transmission. The power consumption increases as number of users increase. Nonlinear enhancement of cost with increase in power needs the attention and optimization.The base station sharing is identified as the most efficient solution to reduce energy consumption costs of cellular networks. In this project, a scheme has been proposed which is based on framework for the study of such cooperative solutions where different

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... ile network operators (MNOs) decide to switch OFF subsets of their base stations during off-peak hours and roam their traffic to the remaining stations.The genetic algorithm has been used in this project to identify the traffic threshold for switching off the base station depending on the data available. The fitness function consider the cost of power consumption and roming cost simultateously.The improvement with GA based optimization has given in the result section. .