Artificial Neural Networks for Cognitive Radio: A Preliminary Survey

The cognitive radio is the emerging field where an efficient use of spectrum is desired by detecting white spaces. The Artificial intelligence is the core of the cognitive engine which observes the external and internal environment parameters and acts to increase the QoS of the communication system. In this paper a survey of how artificial neural networks can be used to develop this intelligent core. Various techniques recently suggested by researchers e.g. automatic modulation classification, pattern recognition based cognitive transmitter / receiver , ANN based learner and spectrum predictor have been discussed in this paper