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http://dx.doi.org/10.6109/jicce.2018.16.1.23

Implementation of Spectrum-Sensing for Cognitive Radio Using USRP with GNU Radio and a Cloud Server  

Thien, Huynh Thanh (School of Electrical Engineering, University of Ulsan)
Tendeng, Rene (School of Electrical Engineering, University of Ulsan)
Vu-Van, Hiep (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of information and communication convergence engineering / v.16, no.1, 2018 , pp. 23-30 More about this Journal
Abstract
In cognitive radio (CR), spectrum sensing is an essential function since secondary users (SUs) must determine whether the primary user (PU) is utilizing the channel or not, and furthermore, SUs opportunistically access the licensed channel when the PU is absent. In this paper, spectrum sensing is implemented by energy detection, and a software-defined radio testbed is built to evaluate sensing performance by energy detection in a real environment. In particular, the testbed was built based on the GNU's Not Unix (GNU) Radio software platform and Universal Software Radio Peripheral National Instruments 2900 devices. More specifically, a new block of energy detection is developed by using an out-of-tree module from GNU Radio. To successfully integrate CR into the cloud computing paradigm, we also implement cloud computing-based spectrum sensing by utilizing a cloud server with ThingSpeak, such that we can store, process, and share the sensing information more efficiently in a centralized way in the cloud server.
Keywords
Cognitive radio; GNU radio; Spectrum sensing; ThingSpeak; USRP;
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