Capacity for MIMO Gaussian interference channels with generally strong and noisy interference

Xiaohu Shang; H. Vincent Poor

doi:10.1109/ISIT.2012.6284030

Capacity for MIMO Gaussian interference channels with generally strong and noisy interference

Xiaohu Shang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

There exist vector Gaussian interference channels that may not satisfy the strong interference condition but for which the capacity can still be achieved by jointly decoding the signal and the interference. This kind of interference is called generally strong interference. Sufficient conditions for a vector Gaussian interference channel to have generally strong interference are derived. The sum-rate capacity and the boundary points of the capacity region are also determined. Furthermore, new sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize all the existing results. Some boundary points on the capacity region of a vector Z interference channel under noisy interference are also determined to be achieved by treating interference as noise.

Original language	English (US)
Title of host publication	2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages	2786-2790
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2012.6284030
State	Published - 2012
Event	2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States Duration: Jul 1 2012 → Jul 6 2012

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings

Other

Other	2012 IEEE International Symposium on Information Theory, ISIT 2012
Country/Territory	United States
City	Cambridge, MA
Period	7/1/12 → 7/6/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2012.6284030

Cite this

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title = "Capacity for MIMO Gaussian interference channels with generally strong and noisy interference",

abstract = "There exist vector Gaussian interference channels that may not satisfy the strong interference condition but for which the capacity can still be achieved by jointly decoding the signal and the interference. This kind of interference is called generally strong interference. Sufficient conditions for a vector Gaussian interference channel to have generally strong interference are derived. The sum-rate capacity and the boundary points of the capacity region are also determined. Furthermore, new sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize all the existing results. Some boundary points on the capacity region of a vector Z interference channel under noisy interference are also determined to be achieved by treating interference as noise.",

author = "Xiaohu Shang and Poor, {H. Vincent}",

year = "2012",

doi = "10.1109/ISIT.2012.6284030",

language = "English (US)",

isbn = "9781467325790",

series = "IEEE International Symposium on Information Theory - Proceedings",

pages = "2786--2790",

booktitle = "2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012",

note = "2012 IEEE International Symposium on Information Theory, ISIT 2012 ; Conference date: 01-07-2012 Through 06-07-2012",

}

Shang, X & Poor, HV 2012, Capacity for MIMO Gaussian interference channels with generally strong and noisy interference. in 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012., 6284030, IEEE International Symposium on Information Theory - Proceedings, pp. 2786-2790, 2012 IEEE International Symposium on Information Theory, ISIT 2012, Cambridge, MA, United States, 7/1/12. https://doi.org/10.1109/ISIT.2012.6284030

Capacity for MIMO Gaussian interference channels with generally strong and noisy interference. / Shang, Xiaohu; Poor, H. Vincent.
2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. 2012. p. 2786-2790 6284030 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Shang, Xiaohu

AU - Poor, H. Vincent

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N2 - There exist vector Gaussian interference channels that may not satisfy the strong interference condition but for which the capacity can still be achieved by jointly decoding the signal and the interference. This kind of interference is called generally strong interference. Sufficient conditions for a vector Gaussian interference channel to have generally strong interference are derived. The sum-rate capacity and the boundary points of the capacity region are also determined. Furthermore, new sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize all the existing results. Some boundary points on the capacity region of a vector Z interference channel under noisy interference are also determined to be achieved by treating interference as noise.

AB - There exist vector Gaussian interference channels that may not satisfy the strong interference condition but for which the capacity can still be achieved by jointly decoding the signal and the interference. This kind of interference is called generally strong interference. Sufficient conditions for a vector Gaussian interference channel to have generally strong interference are derived. The sum-rate capacity and the boundary points of the capacity region are also determined. Furthermore, new sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize all the existing results. Some boundary points on the capacity region of a vector Z interference channel under noisy interference are also determined to be achieved by treating interference as noise.

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Capacity for MIMO Gaussian interference channels with generally strong and noisy interference

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