Performance Analysis of Spectrum Sensing With Multiple Status Changes in Primary User Traffic

TL;DR

This paper analyzes how multiple primary user status changes affect spectrum sensing performance, deriving formulas and showing that increased changes degrade sensing accuracy, with degradation depending on traffic parameters and SNR.

Contribution

It provides closed-form expressions for false alarm and detection probabilities considering multiple primary user status changes, highlighting their impact on sensing performance.

Findings

Multiple status changes cause significant sensing degradation.

Degradation depends on number of changes, traffic model, and SNR.

Degradation decreases with more changes, approaching a minimum limit.

Abstract

In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time.