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-The cognitive radio technology allows solving one of the main issues of current wireless communication technologies, namely a deficit of vacant spectrum. A dynamic spectrum access used in the cognitive radio networks (CRN) gives an ability to access an unused spectrum in real time. Cooperative spectrum sensing is the most effective method for spectrum holes detecting. It combines sensing information of multiple cognitive radio users. In this paper, an experimental evaluation of spectrum sensing methods based on the Kolmogorov -Smirnov statistical test and Energy Detector using the Universal Software Radio Peripheral (USRP) devices synchronized through a MIMO cable and with further processing in the GNU Radio and Matlab software are presented. Three hard decision fusion schemes are analyzed. Simulation comparison between these rules is presented via Receiver Operating Characteristic (ROC) curves. The influence of real channel with interferences is compared in contrast to commonly assumed AWGN channel model of vacant channel noise.

This paper presents the developed MATLABbased simulation environment used to evaluate the cooperative spectrum sensing in the simulated channel conditions. Four different channel models can be set up between the primary user and individual secondary users: PedA, PedB, VehA and VehB models. Two types of detectors -the energy detector and the Kolmogorov-Smirnov-based statistical detector have been implemented and then used for the evaluation on the two types of transmitted signals -the analogue FM signal and the digital 8PSK signal. The simulator has also been used in order to demonstrate the effectiveness of the cooperative approach over the spectrum sensing via the single devices.

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