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Design and implementation of spectrum sensing for cognitive radios with a frequency-hopping primary system
Affiliation:1. Department of Information Engineering, University of Padova, Padova, Italy;2. Department of Robotics and Mechatronics, School of Science and Technology (SST), Nazarbayev University, Astana, Kazakhstan;3. Department of Information Engineering, Electronic and Telecommunication, Sapienza University of Rome, Rome, Italy;1. School of Information Technology, Indian Institute of Technology, Kharagpur, India;1. Department of Computer Science, Netanya Academic College, 1 University St., Netanya, 42365, Israel;2. Lantiq, 13 Zarchin St., Ra’anana, 43662, Israel
Abstract:In this work, spectrum sensing for cognitive radios is considered in the presence of multiple Primary Users (PU) using frequency-hopping communication over a set of frequency bands. The detection performance of the Fast Fourier Transform (FFT) Average Ratio (FAR) algorithm is obtained in closed-form, for a given FFT size and number of PUs. The effective throughput of the Secondary Users (SU) is formulated as an optimization problem with a constraint on the maximum allowable interference on the primary network. Given the hopping period of the PUs, the sensing duration that maximizes the SU throughput is derived. The results are validated using Monte Carlo simulations. Further, an implementation of the FAR algorithm on the Lyrtech (now, Nutaq) small form factor software defined radio development platform is presented, and the performance recorded through the hardware is observed to corroborate well with that obtained through simulations, allowing for implementation losses.
Keywords:Spectrum sensing  Frequency-hopping primary  FAR algorithm  Software defined radio
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