A Novel Two-stage Entropy-based Robust Cooperative Spectrum Sensing Scheme with Two-bit Decision in Cognitive Radio

TL;DR

This paper introduces a new two-stage entropy-based cooperative spectrum sensing scheme with two-bit decisions for cognitive radio, improving detection reliability and reducing computational complexity under severe noise uncertainty.

Contribution

It proposes a novel spectrum sensing detector based on spectrum power density entropy and a two-stage cooperative scheme with two-bit decisions, enhancing robustness and efficiency.

Findings

Superior detection performance demonstrated in simulations

Lower computational complexity compared to previous methods

Enhanced reliability in severe noise conditions

Abstract

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 its performance is better than the previous scheme with less computational complexity. Furthermore, to improve the reliability of the detection, a two-stage entropy-based cooperative spectrum sensing scheme using two-bit decision is proposed, and simulation results show its superior performance with relatively low computational complexity.