Enhancing the Date Rate by the Management of Bandwidth and Power Using Interference Temperature Constraint in Cognitive Radio Networks

Abstract

As the network nowadays is overcrowded, due to increase in demand of wireless applications requiring high data rates with full signal strength still there are parts in our overall wireless spectrum that are unutilized. Cognitive radio networks technology is a one step ahead in solving the problem of underutilization of certain parts of spectrum. Interference plays a negative role in the success of cognitive radio networks technology. Interference temperature gives the closest approximation of overall interference at a particular time and position. The proposed approach implements a feedback system in cognitive radio networks using interference temperature and achievable capacity as a constraint using back propagation neural network. The goal is to maximize data rate at a particular time at designated channel, and channel utilization is maximized.