scholarly journals A selective decision-fusion rule for cooperative spectrum sensing using energy detection

2015 ◽  
Vol 16 (12) ◽  
pp. 1603-1611 ◽  
Author(s):  
Ala Abu Alkheir ◽  
Mohamed Ibnkahla
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Energy Detection ◽  
Decision 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.

Performance measurement of one-bit hard decision fusion scheme for cooperative spectrum sensing in CR

2017 ◽  
Vol 8 (1) ◽  
pp. 9-16
Author(s):  
M. Al-Rawi
Keyword(s):  
False Alarm ◽  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Additive White Gaussian Noise ◽  
False Alarm Probability ◽  
Energy Detection ◽  
Decision Fusion ◽  
Probability Effect ◽  
Probability Number ◽  
Hard Decision

This paper measures the performance of cooperative spectrum sensing, over Rayleigh-fading channel and additive white Gaussian noise, based on one-bit hard decision scheme for both AND and OR rules. Three measures based on energy detection are considered including effect of false alarm probability, effect of number of users, and effect of number of samples. Simulation results show that the detection probability increases with increasing false alarm probability, number of users, and number of samples for both AND and OR rules. Also, the performance of OR rule is better than the performance of AND rule.

Efficient Soft Decision Fusion Rule in Cooperative Spectrum Sensing

2013 ◽  
Vol 61 (8) ◽  
pp. 1931-1943 ◽  
Author(s):  
Weijia Han ◽  
Jiandong Li ◽  
Zan Li ◽  
Jiangbo Si ◽  
Yan Zhang
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Decision Fusion ◽  
Soft Decision

scholarly journals A Further Exploration of Multi-Slot Based Spectrum Sensing

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3497
Author(s):  
Zhu ◽  
Cao ◽  
Mu
Keyword(s):  
Performance Improvement ◽  
Spectrum Sensing ◽  
Simulation Experiment ◽  
Cooperative Spectrum Sensing ◽  
Fusion Rule ◽  
Decision Fusion ◽  
Majority Voting ◽  
Utilization Rate ◽  
Voting Rule ◽  
Limited Spectrum

Spectrum sensing (SS) exhibits its advantages in the era of Internet of Things (IoT) due to limited spectrum resource and a lower utilization rate of authorized spectrum. In consequence, the performance improvement of SS seems a matter of great significance for the development of wireless communication and IoT. Motivated by this, this paper is devoted to multi-slot based SS in specialty and several important conclusions are drawn. Firstly, SS with one slot outperforms those with multiple slots if decision fusion rule is considered for multi-slot based SS. Secondly, multi-slot based SS is conducive to the performance improvement of SS when instantaneous strong noise occurs in the radio environment. Thirdly, for multi-slot based cooperative spectrum sensing (CSS), majority voting rule among multiple nodes obtains the optimal sensing performance. Both theoretical analysis and simulation experiment validate the conclusions drawn in this paper.

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