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Performance of CPSC Spectrum Sensing over Fast Frequency-Selective Fading Channels

Spectrum sensing using cooperative power spectral density cancellation (CPSC) over both fast and frequency-selective fading channels has not been investigated yet. We investigate the performance of the newly proposed CPSC method over this severely-impaired Rayleigh channel. We initially compare two approaches to calculate the decision variable in the CPSC algorithm. Then, it is assumed that the fading model can rapidly vary its characteristics over a single sensing interval. The channel model is then also made frequency-selective, by modeling additional resolvable paths. Performance is found by running simulations to find the Receiver Operating Characteristic (ROC) curves under these constraints. Finally, the theoretical achievable throughput of a secondary cognitive user network operating under this scenario is found as another performance criteria. The results reveal that the CPSC method is more sensible to the fast channels when compared to the selective ones. Moreover, it is shown that each scenario has one optimal sensing time, which yields the highest throughput for the secondary network.