Throughput Enhancement of Adhoc Cognitive Radio Networks Using Neural Network Techniques
Cognitive radio refers to an intelligent radio, which has the ability to sense the external environment, learn from history and make intelligent decisions to adjust its transmission parameters according to the current state of the wireless channel. Spectrum sensing is an important aspect in the implementation of cognitive radios. The efficiency of spectrum sensing is largely impacted by the interferences in the primary channel. In this paper, a mathematical model for these interferences is first developed and a highly sophisticated adaptive resonance theory based neural network technique is proposed to mitigate the effect of such interferences.