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Opportunistic Spectrum Sharing in Cognitive Radio NetworksCognitive Ad Hoc Network with Limited Feedback

Opportunistic Spectrum Sharing in Cognitive Radio Networks: Cognitive Ad Hoc Network with Limited... [In this chapter, we study the opportunistic spectrum sharing in ad hoc networks. Both primary and secondary transmitters are modeled as Poisson point processes. The primary and secondary receivers each sends 1-bit feedback of local channel gain to their corresponding transmitters. The primary transmitters are active if their local primary channel gains are above a certain threshold. In the first scheme, the secondary transmitters transmit if their local channel gains are above the required threshold. In the second scheme, the secondary transmitters transmit if their local channel gains are above the threshold and they are outside the primary exclusive regions of the active primary receivers. Using stochastic geometry theory, the analytical solutions of the optimal secondary node density are derived by maximizing the average secondary throughput per unit area under the reliability constraints of both primary and secondary users.With tight secondary constraint, the scheme without primary exclusive region is more beneficial. With tight primary constraint, the scheme with primary exclusive regions is recommended.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Opportunistic Spectrum Sharing in Cognitive Radio NetworksCognitive Ad Hoc Network with Limited Feedback

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2015
ISBN
978-3-319-15541-8
Pages
37 –60
DOI
10.1007/978-3-319-15542-5_4
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we study the opportunistic spectrum sharing in ad hoc networks. Both primary and secondary transmitters are modeled as Poisson point processes. The primary and secondary receivers each sends 1-bit feedback of local channel gain to their corresponding transmitters. The primary transmitters are active if their local primary channel gains are above a certain threshold. In the first scheme, the secondary transmitters transmit if their local channel gains are above the required threshold. In the second scheme, the secondary transmitters transmit if their local channel gains are above the threshold and they are outside the primary exclusive regions of the active primary receivers. Using stochastic geometry theory, the analytical solutions of the optimal secondary node density are derived by maximizing the average secondary throughput per unit area under the reliability constraints of both primary and secondary users.With tight secondary constraint, the scheme without primary exclusive region is more beneficial. With tight primary constraint, the scheme with primary exclusive regions is recommended.]

Published: Mar 19, 2015

Keywords: Cognitive radio; Spectrum sharing; Opportunistic Aloha; Primary exclusive region; Poisson point process; Stochastic geometry theory

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