AGC-based SU Selection for Cooperative Spectrum Sensing with Direct-Conversion Cognitive Radio
Dayan A. Guimarães

DOI: 10.14209/sbrt.2021.1570733442
Evento: XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2021)
Keywords: Cooperative spectrum sensing Direct-conversion receiver Dynamic spectrum access Secondary user selection
Abstract
A direct-conversion receiver for cooperative spectrum sensing (CSS) was recently proposed to assess the performances of eigenvalue-based detectors and the energy detector (ED). In this paper, the problem of secondary user (SU) selection for CSS is solved by a classification method based on the automatic gain control loop gains of the receivers. Low complexity detectors are compared using this method: the Gerschgorin radii and centers ratio, the Gini index detector, the Pietra-Ricci index detector, and the locally most powerful invariant test. The ED is also included as a benchmark. Significant performance improvements are achieved in comparison with the use of the same number of SUs without selection.

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