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Analysis of the impact of nonlinearity on the capacity of communication channels

Publication ,  Journal Article
Sabbaghian, M; Sulyman, AI; Tarokh, V
Published in: IEEE Transactions on Information Theory
November 4, 2013

We study the impact of nonlinearities on the transmission rate of a communication system by establishing lower and upper bounds on the channel capacity. Our analysis is based on a general transmission model that includes transmitter and receiver nonlinearities, environmental thermal noise, and receiver chain noise. Using this model, we derive lower and upper bounds for the channel capacity of additive white Gaussian noise channels, fading channels, and multiple input multiple output channels in various thermal noise and receiver noise regimes. © 1963-2012 IEEE.

Duke Scholars

Published In

IEEE Transactions on Information Theory

DOI

ISSN

0018-9448

Publication Date

November 4, 2013

Volume

59

Issue

11

Start / End Page

7671 / 7683

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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Sabbaghian, M., Sulyman, A. I., & Tarokh, V. (2013). Analysis of the impact of nonlinearity on the capacity of communication channels. IEEE Transactions on Information Theory, 59(11), 7671–7683. https://doi.org/10.1109/TIT.2013.2274268
Sabbaghian, M., A. I. Sulyman, and V. Tarokh. “Analysis of the impact of nonlinearity on the capacity of communication channels.” IEEE Transactions on Information Theory 59, no. 11 (November 4, 2013): 7671–83. https://doi.org/10.1109/TIT.2013.2274268.
Sabbaghian M, Sulyman AI, Tarokh V. Analysis of the impact of nonlinearity on the capacity of communication channels. IEEE Transactions on Information Theory. 2013 Nov 4;59(11):7671–83.
Sabbaghian, M., et al. “Analysis of the impact of nonlinearity on the capacity of communication channels.” IEEE Transactions on Information Theory, vol. 59, no. 11, Nov. 2013, pp. 7671–83. Scopus, doi:10.1109/TIT.2013.2274268.
Sabbaghian M, Sulyman AI, Tarokh V. Analysis of the impact of nonlinearity on the capacity of communication channels. IEEE Transactions on Information Theory. 2013 Nov 4;59(11):7671–7683.

Published In

IEEE Transactions on Information Theory

DOI

ISSN

0018-9448

Publication Date

November 4, 2013

Volume

59

Issue

11

Start / End Page

7671 / 7683

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