Cooperative Distributed Sequential Spectrum Sensing

TL;DR

This paper proposes an energy-efficient cooperative spectrum sensing method for cognitive radios using sequential hypothesis testing, accounting for fading and uncertainties, and analyzes its performance through simulations.

Contribution

It introduces a sequential detection algorithm for cooperative spectrum sensing that reduces delay and energy consumption, considering realistic channel conditions and uncertainties.

Findings

The proposed SPRT-based method achieves low detection delay.

Performance analysis matches simulation results.

The approach is robust to fading and distribution uncertainties.

Abstract

We consider cooperative spectrum sensing for cognitive radios. We develop an energy efficient detector with low detection delay using sequential hypothesis testing. Sequential Probability Ratio Test (SPRT) is used at both the local nodes and the fusion center. We also analyse the performance of this algorithm and compare with the simulations. Modelling uncertainties in the distribution parameters are considered. Slow fading with and without perfect channel state information at the cognitive radios is taken into account.