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Sensing and Performance Issues with Reconfigurable Wireless Transceiver

Sensing and Performance Issues with Reconfigurable Wireless Transceiver

Amrit Mukherjee, Sagaika Sahoo, Amlan Datta
Copyright: © 2017 |Pages: 22
ISBN13: 9781522523420|ISBN10: 1522523421|EISBN13: 9781522523437
DOI: 10.4018/978-1-5225-2342-0.ch009
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MLA

Mukherjee, Amrit, et al. "Sensing and Performance Issues with Reconfigurable Wireless Transceiver." Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security, edited by Dharm Singh, IGI Global, 2017, pp. 182-203. https://doi.org/10.4018/978-1-5225-2342-0.ch009

APA

Mukherjee, A., Sahoo, S., & Datta, A. (2017). Sensing and Performance Issues with Reconfigurable Wireless Transceiver. In D. Singh (Ed.), Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security (pp. 182-203). IGI Global. https://doi.org/10.4018/978-1-5225-2342-0.ch009

Chicago

Mukherjee, Amrit, Sagaika Sahoo, and Amlan Datta. "Sensing and Performance Issues with Reconfigurable Wireless Transceiver." In Routing Protocols and Architectural Solutions for Optimal Wireless Networks and Security, edited by Dharm Singh, 182-203. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2342-0.ch009

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Abstract

With the wide applications of wireless communication, it becomes an important factor to keep the pace of the spectrum usage for all the new applications. To improve efficiently the spectrum usage in variety of applications, where the primary users are not active all the time, we can introduce the secondary users to exploit the radio frequency spectrum by not creating any interference to the Primary Users (PU). Unlike the pre-assigned spectrum allocation policy that has been adopted by various wireless technologies, in Cognitive Radio (CR), the whole spectrum is divided into many bands and corresponding channels where spectrum holes exist. The main challenge is thus to sense these holes and accommodate the secondary unlicensed users. In this chapter, proposing the Quantized data fusion sensing which is one of the type of cooperative sensing scheme used for unused spectrum sensing and acknowledgement to secondary signals. Simulation results with error rates are improved by the activity of PU and have been presented.

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