Cooperative Fusion rules in Spectrum Sensing

2021 ◽  
Author(s):  
Vivek Gupta ◽  
Shivendra Nath Sharan ◽  
Narendra S. Beniwal ◽  
Sunil Kumar Choudhary
Keyword(s):  
Spectrum Sensing ◽  
Fusion Rules

scholarly journals Spectrum Sensing in Cognitive Radio

2012 ◽  
pp. 29-42
Author(s):  
Wei-Ho Chung
Keyword(s):  
Cognitive Radio ◽  
False Alarm ◽  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radios ◽  
Probability Of Detection ◽  
Sensor Nodes ◽  
Fusion Rules ◽  
Probability Of False Alarm ◽  
Individual Decisions

The cognitive radio has been widely investigated to support modern wireless applications. To exploit the spectrum vacancies in cognitive radios, the chapter considers the collaborative spectrum sensing by multiple sensor nodes in the likelihood ratio test (LRT) frameworks. In this chapter, the functions of sensors can be served through the cooperative regular nodes in the cognitive radio, or the specifically deployed sensor nodes for spectrum sensing. In the LRT, the sensors make individual decisions. These individual decisions are then transmitted to the fusion center to make the final decision, which provides better detection accuracy than the individual sensor decisions. The author provides the lowered-bounded probability of detection (LBPD) criterion as an alternative criterion to the conventional Neyman-Pearson (NP) criterion. In the LBPD criterion, the detector pursues the minimization of the probability of false alarm while maintaining the probability of detection above the pre-defined value. In cognitive radios, the LBPD criterion limits the probabilities of channel conflicts to the primary users. Under the NP and LBPD criteria, the chapter provides explicit algorithms to solve the LRT fusion rules, the probability of false alarm, and the probability of detection for the fusion center. The fusion rules generated by the algorithms are optimal under the specified criteria. In the spectrum sensing, the fading channels influence the detection accuracies. The chapter investigates the single-sensor detection and collaborative detections of multiple sensors under various fading channels and derives testing statistics of the LRT with known fading statistics.

Practical Implementation of Spectrum Sensing and Signal Detection for Satellite Broadcasting Systems

2016 ◽  
Vol E99.B (8) ◽  
pp. 1894-1901
Author(s):  
Hiroyuki KAMATA ◽  
Gia Khanh TRAN ◽  
Kei SAKAGUCHI ◽  
Kiyomichi ARAKI
Keyword(s):  
Signal Detection ◽  
Spectrum Sensing ◽  
Practical Implementation ◽  
Satellite Broadcasting

Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels

2009 ◽  
Vol E92-B (12) ◽  
pp. 3606-3615 ◽  
Author(s):  
Chen SUN ◽  
Yohannes D. ALEMSEGED ◽  
Ha Nguyen TRAN ◽  
Hiroshi HARADA
Keyword(s):  
Fading Channels ◽  
Spectrum Sensing ◽  
Rayleigh Fading ◽  
Distributed Sensing ◽  
Rayleigh Fading Channels ◽  
Use Case
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