The optimal fusion rule for cooperative spectrum sensing from a diversity perspective

2012 ◽  
Author(s):  
Dongliang Duan ◽  
Liuqing Yang ◽  
Louis L. Scharf
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Optimal Fusion

Energy Detection Based Spectrum Sensing Analysis of Cooperative Cognitive Radios under Different Fading Environments

2013 ◽  
pp. 50-73
Author(s):  
Deepti Kakkar ◽  
Mayank Gupta ◽  
Arun Khosla ◽  
Moin Uddin
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Energy Detection ◽  
Radio Networks ◽  
Amplify And Forward ◽  
Comparative Performance

This chapter discusses the detection performance of relay based cognitive radio networks. Relays are assigned in cognitive radio networks to transmit the primary user’s signal to cognitive coordinators or CPUs, thus achieving cooperative spectrum sensing. The purpose of the chapter is to provide mathematical analysis of energy detectors for dual hop networks. The soft fusion rule is used at the relays which acts as amplify and forward relays. For the detection purpose, the energy detector is employed at the cognitive coordinator. In the ending sections, sensing performance is analyzed for different fading channels in the MATLAB environment and simulation results present comparative performance of various relay conditions with concluding remarks.

Fusion rule and cluster head selection scheme in cooperative spectrum sensing

2019 ◽  
Vol 13 (6) ◽  
pp. 758-765 ◽  
Author(s):  
Akinbode A. Olawole ◽  
Fambirai Takawira ◽  
Olutayo O. Oyerinde
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Cluster Head ◽  
Fusion Rule ◽  
Cluster Head Selection ◽  
Selection Scheme

scholarly journals Cooperative Spectrum Sensing with Selection Diversity Reception in Cognitive Radio

2021 ◽  
pp. 1-7
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Recognition Performance ◽  
Fusion Rule ◽  
Diversity Reception ◽  
Selection Diversity ◽  
Simulation Evaluation ◽  
Radio Technology ◽  
Cognitive Radio Technology

Spectrum sensing is the key component of cognitive radio technology. But, detection is compromised when a user reports shadowing or fading consequences. In such instances, the customer cannot apprehend between an unexploited band and a profound fade. Hence, communal spectrum sensing is suggested to optimize sensing overall performance. We recognition performance of communal Spectrum Sensing with Selection Diversity Reception in Cognitive Radio. This study presents a simulation evaluation of choice diversity Reception based totally on the fusion rule. The fusion rule is finished at the fusion center (FC) to make the very last selection about the presence of PU. This leads that spectrum sensing is enthusiastically in the presence of Rayleigh.

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