Energy-Based Spectrum Sensing Over the Severe Fading Channels

The presented research analyzes the energy-based detection (ED) problem of a signal propagating in a wireless severely fading channel. To account for the worst-case propagation conditions, the newly presented for wireless communications Lomax channel model (exhibiting the hyper-Rayleigh conditions for all the possible parameters' range) was used. The system performance was characterized by the average probability of detection, receiver operating characteristic (ROC), and the area under the receiver operating characteristic curve (AUC), that were studied as the functions of the system and the channel parameters (i.e., the sensing base., the average signal-to-noise ratio (SNR), and the SNR probability distribution function scale parameter). The results of the numerical simulation were analyzed in comparison with the existing regulation implied by the 5G NR standard on the ED for medium access procedure.