Our paper presents a low cost experimental prototype for cognitive radio applications, which consists of a radio platform and a host cognitive engine, dedicated essentially to Wireless Sensor Networks (WSN) scenarios. It is carried out using ‘USRP (Universal Software Radio Peripheral) and GNURadio’ Software Defined Radio (SDR) platform, implemented on a single board computer, which is the Raspberry Pi 3 board. We have experienced the Spectrum Sensing mechanism, based upon Energy-Detection approach, due to its low computational complexity, and implementation availability within GNU-Radio environment. The result shows the sensing outputs data obtained by scanning wireless activities in the 2.4 GHz frequency band, necessary for the determination of the spectrum holes.
Implementation of a low cost SDR-based Spectrum Sensing Prototype using USRP and Raspberry Pi board
EL BARRAK, SOUMAYA;PULIAFITO, Antonio;SERRANO, Salvatore
2017-01-01
Abstract
Our paper presents a low cost experimental prototype for cognitive radio applications, which consists of a radio platform and a host cognitive engine, dedicated essentially to Wireless Sensor Networks (WSN) scenarios. It is carried out using ‘USRP (Universal Software Radio Peripheral) and GNURadio’ Software Defined Radio (SDR) platform, implemented on a single board computer, which is the Raspberry Pi 3 board. We have experienced the Spectrum Sensing mechanism, based upon Energy-Detection approach, due to its low computational complexity, and implementation availability within GNU-Radio environment. The result shows the sensing outputs data obtained by scanning wireless activities in the 2.4 GHz frequency band, necessary for the determination of the spectrum holes.Pubblicazioni consigliate
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