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Cognitive networks achieve throughput scaling of a homogeneous network

Publication ,  Journal Article
Jeon, SW; Devroye, N; Vu, M; Chung, SY; Tarokh, V
Published in: IEEE Transactions on Information Theory
August 1, 2011

Two distinct, but overlapping, networks that operate at the same time, space, and frequency is considered. The first network consists of n randomly distributed primary users, which form an ad hoc network. The second network again consists of m randomly distributed ad hoc secondary users or cognitive users. The primary users have priority access to the spectrum and do not need to change their communication protocol in the presence of the secondary users. The secondary users, however, need to adjust their protocol based on knowledge about the locations of the primary users to bring little loss to the primary network's throughput. By introducing preservation regions around primary receivers, a modified multihop routing protocol is proposed for the cognitive users. Assuming m=nβ with β>1, it is shown that the secondary network achieves almost the same throughput scaling law as a stand-alone network while the primary network throughput is subject to only a vanishingly small fractional loss. Specifically, the primary network achieves the sum throughput of order n1/2 and, for any δ>0, the secondary network achieves the sum throughput of order m1/2-δ with an arbitrarily small fraction of outage. Thus, almost all secondary source-destination pairs can communicate at a rate of order m -1/2-δ. © 2011 IEEE.

Duke Scholars

Published In

IEEE Transactions on Information Theory

DOI

ISSN

0018-9448

Publication Date

August 1, 2011

Volume

57

Issue

8

Start / End Page

5103 / 5115

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Jeon, S. W., Devroye, N., Vu, M., Chung, S. Y., & Tarokh, V. (2011). Cognitive networks achieve throughput scaling of a homogeneous network. IEEE Transactions on Information Theory, 57(8), 5103–5115. https://doi.org/10.1109/TIT.2011.2158874
Jeon, S. W., N. Devroye, M. Vu, S. Y. Chung, and V. Tarokh. “Cognitive networks achieve throughput scaling of a homogeneous network.” IEEE Transactions on Information Theory 57, no. 8 (August 1, 2011): 5103–15. https://doi.org/10.1109/TIT.2011.2158874.
Jeon SW, Devroye N, Vu M, Chung SY, Tarokh V. Cognitive networks achieve throughput scaling of a homogeneous network. IEEE Transactions on Information Theory. 2011 Aug 1;57(8):5103–15.
Jeon, S. W., et al. “Cognitive networks achieve throughput scaling of a homogeneous network.” IEEE Transactions on Information Theory, vol. 57, no. 8, Aug. 2011, pp. 5103–15. Scopus, doi:10.1109/TIT.2011.2158874.
Jeon SW, Devroye N, Vu M, Chung SY, Tarokh V. Cognitive networks achieve throughput scaling of a homogeneous network. IEEE Transactions on Information Theory. 2011 Aug 1;57(8):5103–5115.

Published In

IEEE Transactions on Information Theory

DOI

ISSN

0018-9448

Publication Date

August 1, 2011

Volume

57

Issue

8

Start / End Page

5103 / 5115

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing