Title: Performance comparison of detection schemes for spectrum sensing

Authors: Quoc Kien Nguyen; Taehyun Jeon

Addresses: Seoul National University of Science and Technology, Department of Electrical and Information Engineering, Seoul, 139-743, South Korea ' Seoul National University of Science and Technology, Department of Electrical and Information Engineering, Seoul, 139-743, South Korea

Abstract: In Internet of things (IoT), without a proper collision detection method, a massive number of devices with different communication interfaces will be the source of interference to the primary user. There exist numerous spectrum sensing techniques and each type of spectrum sensing technique has its pros and cons. In recent researches about spectrum sensing approaches, the combination of conventional digital signal processing and collaboration in signal detection has been exploited in order to obtain more accurate results. This paper provides performance comparison of different spectrum sensing techniques. Particularly, energy and cyclostationary based detection techniques are reviewed. Furthermore, the two-layer detection procedure, which includes energy-based cyclostationary, is examined and applied to collaborative scenario. In addition, the collaborative sensing utilises signals coming from different receivers with different propagation paths to cope with the high level of noise environment by combining them at the fusion centre where the decision is finally made.

Keywords: collaborative spectrum sensing; cyclostationary; IoT; internet of things; cognitive radio; energy detection.

DOI: 10.1504/IJSNET.2017.086792

International Journal of Sensor Networks, 2017 Vol.25 No.1, pp.63 - 69

Received: 20 Feb 2017
Accepted: 20 Feb 2017
Published online: 26 Sep 2017 *

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