Abstract
The Cognitive Radio network is one of the challenging field, where researchers are working to utilize the underutilized spectrum bands for the needful and emergency purposes. This paper proposes one such possible solution to design Cognitive Radio network with Universal Software Radio Peripheral (USRP) based Software Defined Radio (SDR). It explores the efficient implementation of Software Defined Radio (SDR) to sense and detect white spaces in the spectrum for the use of emergency communication during disaster using Discrete Wavelet Packet Transform (DWPT). The SDR testbed setup was simulated using MATLAB and observed its performance parameters and it performs better in terms of detected Power level, SNR and detection accuracy. The simulation results prove that this new devised approach has zero interference to the primary user frequency bands and hence not affecting the existing users. Hence, this paper concludes the Proof- of-Concept proposed with improved Quality of Service (QoS).
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Ramasamy, M., M., R.S. (2019). Design and Implementation of Cognitive Radio Sensor Network for Emergency Communication Using Discrete Wavelet Packet Transform Technique. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2019. Lecture Notes in Computer Science(), vol 11319. Springer, Cham. https://doi.org/10.1007/978-3-030-05366-6_23
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DOI: https://doi.org/10.1007/978-3-030-05366-6_23
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