Identification of spectrum holes using ANN model for cognitive radio applications

With the burgeoning popularity & necessity of all things wireless, the radio spectrum has become a scarce utility; cognitive radio (CR) is now the relevant technology under development that enables one to utilize the spectrum more efficiently. Here we propose a new artficial neural network (ANN) model that predicts the channel capacity of the received signal. This information is analyzed theoretically which is subsequently verified by a suitable simulation scheme for identifying possible white space in a given band.