A Novel Algorithm for Cooperative Distributed Sequential Spectrum Sensing in Cognitive Radio

TL;DR

This paper introduces SPRT-CSPRT, an improved cooperative spectrum sensing algorithm for cognitive radios that enhances detection performance by incorporating CUSUM principles and addresses uncertainties like SNR variations and fading.

Contribution

The paper proposes an improved SPRT-CSPRT algorithm for cooperative spectrum sensing, building on previous work, with theoretical analysis and modifications for real-world uncertainties.

Findings

Enhanced detection accuracy over previous algorithms

Theoretical analysis confirms optimality improvements

Robustness to SNR uncertainties and fading

Abstract

This paper considers cooperative spectrum sensing in Cognitive Radios. In our previous work we have developed DualSPRT, a distributed algorithm for cooperative spectrum sensing using Sequential Probability Ratio Test (SPRT) at the Cognitive Radios as well as at the fusion center. This algorithm works well, but is not optimal. In this paper we propose an improved algorithm- SPRT-CSPRT, which is motivated from Cumulative Sum Procedures (CUSUM). We analyse it theoretically. We also modify this algorithm to handle uncertainties in SNR's and fading.