A fuzzy logic based approach to spectrum assignment in cognitive radio networks

In cognitive radio networks (CRNs), the unlicensed nodes opportunistically access the unutilized spectrum that is owned by licensed nodes. The article presents a fuzzy logic based spectrum handoff and assignment approach that enhances the channel utilization and avoids frequent channel switching. The approach considers interference as well as bit error and signal strength in order to find quality channel. Based on generated fuzzy patterns of channel quality, the neural network is trained in order to estimate the channel gain. It is used to select the efficient spectrum in heterogeneous environment.