High-Diversity Cooperative Spectrum Sensing in Cognitive Radio Networks

This paper develops a cooperative scheme among cognitive radios (CRs) to increase the spectrum sensing performance. CRs adaptively transmit local binary decisions to a fusion center (FC), which in turn uses a simple maximumlikelihood detector to decide the presence of absence of the primary user (PU). The diversity order of the probability of false alarm and miss-detection is studied under both Neyman-Pearson and minimum-error-probability criteria. In particular, it is shown that under the Neyman-Pearson criterion, the probability of missdetection can achieve diversity order up to the number of CRs for a bounded probability of false alarm. Under the minimumerror-probability criterion, both the probability of false alarm and miss-detection can achieve diversity order up to the number of CRs. Compared to existing cooperative sensing approaches, this novel scheme is robust to fading effects in both PU-to-CR and CRto-FC links. Simulated tests verify the analytical claims, showing considera...

• Type: Journal
• Year: 2010
• Where: GLOBECOM
• Authors: Guobing Li, Alfonso Cano, Shihua Zhu
• Keywords: Communications, Diversity Order, False Alarm, GLOBECOM 2010, Local Binary Decisions