Cooperative spectrum sensing schemes with partial statistics knowledge

TL;DR

This paper investigates cooperative spectrum sensing in cognitive radio, demonstrating effective detection of spectrum holes even with limited statistical knowledge among users and the central decision-making entity.

Contribution

It introduces cooperative sensing schemes that operate efficiently without full statistical knowledge, enhancing spectrum detection in cognitive radio networks.

Findings

Good performance without statistical knowledge at unlicensed users

Effective detection with partial knowledge at the central entity

Robustness of schemes in practical scenarios

Abstract

In this letter, we analyze the problem of detecting spectrum holes in cognitive radio systems. We consider that a group of unlicensed users can sense the radio signal energy, perform some simple processing and transmit the result to a central entity, where the decision about the presence or not of licensed users is made. We show that the proposed cooperative schemes present good performances even without any knowledge about the measurements statistics in the unlicensed users and with only partial knowledge of them in the central entity.