NDLI: Percolation in multi-channel secondary cognitive radio networks under the SINR model

Content Provider	IEEE Xplore Digital Library
Author	Al-Tameemi, O.A. Chatterjee, M.
Copyright Year	2014
Description	Author affiliation: Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA (Al-Tameemi, O.A.; Chatterjee, M.)
Abstract	In this paper, we use concepts and results from percolation theory to investigate and characterize the effects of primaries on the connectivity of a secondary cognitive radio network under the SINR model. The SINR requirements of the secondaries along with the interference tolerance of the primaries determine which secondary nodes can communicate and which ones are rendered invisible from each other. Such invisibility is even more pronounced when there are plenty of channels to choose from- a phenomenon which we define as channel abundance. With no node-to-node coordination and a naive channel rendezvous protocol, it becomes difficult for the nodes to select a common channel. Invisibility caused by interference and channel abundance is modeled using Poisson thinning. We study their combined effects on the formation of a communication link between two nodes and also on the overall connectivity of the secondary network. Representing multiple channels as parallel edges in a graph, we use the projection of multiple graphs on $R^{2}$ and show how the network percolates in continuum $R^{2}$ by coupling it with a typical discrete lattice percolation. We define and characterize the connectivity of the secondary network in terms of the available number of channels, deployment density, number of transceivers per node and interference cancellation coefficient, both in the presence and absence of primaries. When primaries are absent, we derive the number of channels for which the sub and super-criticality of the secondary network are achieved. When primaries are present, we identify the channel abundance region, the optimal point, and the channel deprivation region. Further, we show how cooperation between primary and secondary networks can increase the connectivity of both.
Sponsorship	IEEE Commun. Soc.
Starting Page	170
Ending Page	181
File Size	704883
Page Count	12
File Format	PDF
ISBN	9781479926619
DOI	10.1109/DySPAN.2014.6817794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dynamic spectrum access Interference Receivers Silicon Cognitive radio Signal to noise ratio
Content Type	Text
Resource Type	Article

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