Effect on Detection and False Alarm Probabilities by Reporting Channel Based Contribution (RCBC)

Abstract

Cognitive Radio Networks (CRNs) help in effective utilization of the spectrum of licensed user by allocating the spectrum to cognitive user (CU) when it is vacant. In a cooperative environment, individual CU senses the spectrum and report the sensed result to a centralized controller of CRN which makes a global decision regarding the spectrum. Two important performance metrics defines a CRN; probability of detection and probability of false alarm. At the centralized controller various fusion rules can be used to make global probabilities of detection and false alarm from the individual sensed result reported by CU. Practically as the number of sensed results reports at centralized controller increases, the loss probability of sensed reports also increases. This paper proposes reporting contributions for CU based on reporting channel condition. The proposed technique Reporting Channel Base Contribution (RCBC) limits the number of CU’s contributions for the final global probability of detection and false alarm based on various fusion rules. Detailed analytical and numerical analysis are covered in this paper. Simulation results show a great improvement in the global results when RCBC technique is compared with Reporting loss.