Orthogonality and Cooperation in Collaborative Spectrum Sensing through MIMO Decision Fusion

TL;DR

This paper investigates how orthogonal and cooperative transmission protocols among secondary users affect spectrum sensing performance in cognitive radio, using array processing and decision fusion with analytical and simulation validation.

Contribution

It introduces four protocols combining orthogonality and cooperation, analyzing their impact on spectrum sensing performance with analytical and simulation results.

Findings

Orthogonal and cooperative protocols improve detection performance.

Maximum ratio combining enhances decision accuracy.

Analytical results align with Monte Carlo simulations.

Abstract

This paper deals with spectrum sensing for cognitive radio scenarios where the decision fusion center (DFC) exploits array processing. More specifically, we explore the impact of user cooperation and orthogonal transmissions among secondary users (SUs) on the reporting channel. To this aim four protocols are considered: (i) non-orthogonal and non-cooperative; (ii) orthogonal and non-cooperative; (iii) non-orthogonal and cooperative; (iv) orthogonal and cooperative. The DFC employs maximum ratio combining (MRC) rule and performance are evaluated in terms of complementary receiver operating characteristic (CROC). Analytical results, coupled with Monte Carlo simulations, are presented.