We investigate the performance of a cognitive personal area network (CPAN) in which spectrum sensing is linked to packet transmissions. Efficient CPAN operation may be achieved if each data transmission is taxed by requiring the transmitting node to participate in cooperative sensing for a prescribed time period. In this approach, each node is allowed to transmit a single packet in one transmis...

Spectrum sensing is a key problem in cognitive radio.However, traditional detectors become ineffective when noise uncertainty is severe. It is shown that the entropy of Gauss white noise is constant in the frequency domain, and a robust detector based on the entropy of spectrum amplitude was proposed. In this paper a novel detector is proposed based on the entropy of spectrum power density, and...

Spectrum sensing is a critical part in Cognitive radio networks to detect the available frequency resources, and its timeliness accuracy are extremely important. The conventional detectors usually fail be robust presence of noise uncertainty, hence an asynchronous cooperative spectrum approach based on sequential probability ratio detection fuzzy hypothesis testing proposed. In approach, done b...