A Novel Architectural Framework and Configuration Scheme for Spectrum Sensing

Abstract

This paper proposes a novel architecture and configuration scheme for single-node spectrum sensing. It is assumed that the sensing node may use more than one sensing algorithms. The proposed sensing architecture allows a dynamic algorithm selection that depends on the sensing configuration parameters, and it includes a regulatory conformance checking. As a result, local sensing is enhanced by dynamic selection of the most reliable sensing algorithm, while a regulatory conformance indicator shows whether the current sensing result should be assumed reliable or not. Such information could be used further by a cooperative sensing system for efficient data fusion and decision making.