Policies for Channel Allocation in Cognitive Radio Networks using Game Theory

Cognitive radio networks evolve according to the actions of selsh users who act independently. The eventual state reached in most of the cases by such a system is a Nash Equilibrium (NE). Multiple NE with dierent quality may exist. In this work we con- sider the problem of allocating channels to multiple transceivers. Based on policies derived from various network metrics we develop a way to initialize the allocation and choose the appropriate channel for each user to push the system towards a higher normalized cumulative total throughput of the CRN. A novel equation to allocate channels is also derived. The improvement is conrmed by our simulation results.