Load balancing using game theory in cognitive radio network

The working radio spectrum is a limited precious natural resource. The continuous demand for the available wireless spectrum is characterized by the in technology of wireless devices. Cognitive radio technology helps in this respect for using available spectrum optimally. A cognitive Radio (CR) is an intelligent radio that can be programmed and configured dynamically. It is an hybrid of software defined radio (SDR) which is applied to wireless spectrum communication. It can sense the environment without the involvement of the user and can adapt to user communication needs. It then accordingly changes its transmission or reception parameters. This process leads the cognitive radio for dynamic spectrum management. So we are proposing the scheme for Channel Allocation in Cognitive Radio by using Game Theory by extracting the best of the four individual sensing methods, eliminating the maximum disadvantages of the sensing techniques. We developed the cognitive radio networks and in which we are also balanced the load between all the channels using game theory. We created 5 elements network / 5channel then check the load one by one in these channel or compare all the channel parallel. Suppose one channel have more load then others then we are sorting the channel load and again compare all the channels. But in some critical situation sometimes the load is not change properly, and wherein one channel has more load and other channel has less load then at that time we have to sort very carefully. Suppose one channel have more load then the load has to be reduced by -step and if other channel has less load then it has to be increased by +step. Thus by creating +step or -step load the network has been balanced properly in the channels of cognitive radio network. Numerical results are presented to show that the proposed approach has better effect and capacity.