Connectivity of Heterogeneous Wireless Networks

@article{Ren2011ConnectivityOH,
  title={Connectivity of Heterogeneous Wireless Networks},
  author={Wei Ren and Qing Zhao and Ananthram Swami},
  journal={IEEE Transactions on Information Theory},
  year={2011},
  volume={57},
  pages={4315-4332}
}
We address the percolation-based connectivity of large-scale ad hoc heterogeneous wireless networks, where secondary users exploit channels temporarily unused by primary users and the existence of a communication link between two secondary users depends on not only the distance between them but also 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 secondary users and the density… 
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72 Citations
Highly Influential Citations
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Background Citations
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72 Citations

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Connectivity of cognitive radio networks: proximity vs. opportunity
TLDR
The tradeoff between proximity (the number of neighbors) and the occurrence of spectrum opportunities is revealed by studying the impact of secondary users' transmission power on the connectivity region of thesecondary network, and the transmission power of the secondary users is designed to maximize their tolerance to the primary traffic load.
Connectivity of interference limited cognitive radio networks
TLDR
The connectivity of cognitive radio networks is considered, which is defined as the existence of an infinite connected component of secondary users, and it is found that the connectivity region without taking interference into consideration is a subset of the authors' connectivity region, which means interference will not adversely affect the connectivity of secondary network.
Connectivity and Transmission Delay in Large-Scale Cognitive Radio Ad Hoc Networks With Unreliable Secondary Links
TLDR
This paper investigates connectivity and transmission delay of secondary users in large-scale wireless cognitive radio (CR) ad hoc networks from a percolation-based perspective and shows that transmission delay scales linearly and sub-linearly with distance in the long-term connectivity and instantaneous connectivity regions, respectively.
Local connectivity for heterogeneous overlaid wireless networks
Percolation-Based Connectivity of Multiple Cooperative Cognitive Radio Ad Hoc Networks
TLDR
The connectivity of a cooperative secondary network, under which each secondary network's user may have other secondary networks' users acting as relays, is characterized in terms of percolation threshold, from which the benefits of cooperation are justified.
Connectivity of Clustered and Multi-type User CR Network: A Percolation Based Approach
TLDR
This work addresses the percolation-based connectivity problem, in which the existence of a communication link between two secondary users depends on not only the distance between them, the transmitting and receiving activities of nearby primary users, but also the neighboring user’s type.
Node density and connectivity of multi-channel ad hoc cognitive radio networks
  • Dong Liu, Erwu Liu, C. Liu
  • Computer Science
    2015 IEEE/CIC International Conference on Communications in China (ICCC)
  • 2015
TLDR
It is found that more accurate sensing carried by SUs does not necessarily bring better connectivity of the secondary network, and it is shown that more licensed channels can loosen the condition for SUs percolation.
Percolation in multi-channel secondary cognitive radio networks under the SINR model
TLDR
This paper defines 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, and shows how cooperation between primary and secondary networks can increase the connectivityof both.
Degree Distribution in Interference-Limited Heterogeneous Wireless Networks and Its Generalizations
TLDR
Insight is given into fundamental limits of coexistence in interference-limited heterogeneous environment, advantages of different broadcasting schemes and cooperation among heterogeneous networks, using the analytical methods of complex network.
Local connectivity of cognitive radio Ad hoc networks
TLDR
Stochastic geometry and probability theory is used to derive the distribution of node degree, probability of available spectrum and probability of node isolation of the Secondary Users (SUs), andoretical analysis and simulation results indicate that the average node degree of SUs scales linearly for increases in the density of S Us with the slope determined by thedensity of Primary Users (PUs).
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