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http://dx.doi.org/10.17661/jkiiect.2017.10.2.184

Hybrid Spectrum Sensing System for Machine-to-Machine(M2M)  

Kim, Nam-Sun (Department of Electrical, Electronic and Communication, Daejin University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.2, 2017 , pp. 184-191 More about this Journal
Abstract
This paper presents cluster based hybrid spectrum sensing system for M2M services. For each cluster, secondary nodes within the transmission radius of the primary node use hard decision method through local spectrum sensing to determine whether the primary node exists. And the other secondary nodes and the secondary nodes having poor radio channel conditions judge the existence of the primary node through the soft decision method of the values obtained by performing the cooperative spectrum sensing. In the proposed hybrid spectrum sensing system, the performance according to the number of secondary nodes is analyzed with the conventional system over Rayleigh fading channel. As the number of cooperative sensing users increased to 2, 3 and 4, the cluster error probability decreased to 0.5608, 0.5252 and 0.4001 at SNR of -10[dB] respectively. Since the proposed system uses less overhead traffic, it is found that it is more effective in terms of frequency usage than the conventional system using soft decision-soft decision and soft decision-hard decision methods.
Keywords
Cognitive Radio; Decision Methods; Energy Detection; M2M; Spectrum sensing;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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