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Dual Processor Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks

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Abstract

Wireless communication has been evidently proven to be the best source of communication technology. This has led to a rapid growth in this technology. This growth in the wireless communication technology has been done on the cost of the valuable resource spectrum which is depleting slowly. The time has shifted from Fixed to Dynamic allocation of spectrum. Cognitive Radio Networks (CRN) has been the emerging Dynamic scheme lately. CRNs allow the unlicensed user also termed as secondary user (SU) to utilize the licensed channel in the absence of the licensed users which are termed as primary users (PU). When a PU visits a channel that is currently being utilized by a SU, the channel needs to be vacated to switch to some other vacant channel in the spectrum. This switch of the channel is termed as spectrum handoff. It helps the system as a whole for better usage of the spectrum on the cost of the performance of the SU transmission increasing its data delivery time. This paper uses a centralized cognitive device in order to decrease the handoff latency of the SU. The centralized device used in this paper is dual processor based which helps in increasing the accuracy of the target channel selection process. The central cognitive device chooses the right channel for transmitting the data using the current channel status flag register in the memory of the device along with a probabilistic approach as presented in this paper. This novel technique improves the parameters such as accuracy, handoff latency, processor speed and processor memory.

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

    Manav Aggarwal, T. Velmurugan & S. Nandakumar

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  1. Manav Aggarwal
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  2. T. Velmurugan
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  3. S. Nandakumar
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Correspondence to T. Velmurugan.

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Aggarwal, M., Velmurugan, T. & Nandakumar, S. Dual Processor Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks. J. Electr. Eng. Technol. 15, 833–842 (2020). https://doi.org/10.1007/s42835-019-00333-4

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