Connectivity of cognitive radio networks: proximity vs. opportunity

@inproceedings{Ren2009ConnectivityOC,
  title={Connectivity of cognitive radio networks: proximity vs. opportunity},
  author={Wei Ren and Qing Zhao and Ananthram Swami},
  booktitle={CoRoNet '09},
  year={2009}
}
We address the connectivity of large-scale ad hoc cognitive radio networks, where secondary users exploit channels temporarily and locally unused by primary users and the existence of a communication link between two secondary users depends not only on the distance between them but also on the transmitting and receiving activities of nearby primary users. We introduce the concept of connectivity region defined as the set of density pairs -- the density of the secondary users and the density of… 
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It is shown that the scaling behavior of the multihop delay depends critically on whether or not the secondary network is instantaneously connected, and the scaling law of the minimum multhop delay with respect to the source-destination distance when the propagation delay is negligible is established.
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It is proven that it is still possible for a SU to transfer its message to any destination with a certain delay with probability one and this delay is shown to be asymptotically linear in the Euclidean distance between the transmitter and receiver.
On the connectivity of large multi-channel cognitive radio networks
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  • 2012
TLDR
The sufficient and necessary condition to achieve full connectivity is λ = Θ(log n/πr2 Ps), where λ is the density, n is the number and r is the transmission range of secondary users respectively, and Ps is the probability that any two secondary users can communicate with each other without interfering with primary users.
Dynamic Connectivity of Cognitive Radio Ad-Hoc Networks with Time-Varying Spectral Activity
TLDR
The upper and lower bounds of λ_s^* are derived and it is shown that they do not depend on the random locations of primary and secondary users, but only on the network parameters, such as active/inactive probability of primary users, transmission range, and the user density.
Connectivity-Driven Routing for Cognitive Radio Ad-Hoc Networks
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  • Computer Science
    2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)
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TLDR
A routing scheme is designed which, by modeling a path with a graph and its Laplacian, captures the connectivity characteristics of the path itself and suitably selects the best route in a uncertain and high variable connectivity scenarios.
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TLDR
The difference between detecting primary signals and detecting spectrum opportunities is revealed, and the complex relationship between physical layer spectrum sensing and MAC layer throughput is demonstrated, and it is revealed that reliable opportunity detection is achieved in the two extreme regimes.
On the complexity of connectivity in cognitive radio networks through spectrum assignment
TLDR
This paper begins the first systematic study on the algorithmic complexity of the connectivity problem in CRNs through spectrum assignments and proves that it is NP-complete to determine whether the network is connectable even if there are only two channels.
Distributed Algorithm for Robust and Interference Free Topology in Cognitive Radio Networks
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This paper proposes a distributed topology control algorithm with message complexity O(n2), which aims to connect the largest subset of SUs with robustness constraint and ensures conflict free transmissions among SUs, where n is the number of S Units.
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Power control in cognitive radio networks: how to cross a multi-lane highway
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The difference between detecting primary signals and detecting spectrum opportunities is revealed, and the complex relationship between physical layer spectrum sensing and MAC layer throughput is demonstrated, and it is revealed that reliable opportunity detection is achieved in the two extreme regimes.
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