On achievable sum rate for vector Gaussian interference channels

Xiaohu Shang; Biao Chen; Michael J. Gans

doi:10.1109/ISIT.2006.261944

On achievable sum rate for vector Gaussian interference channels

Xiaohu Shang, Biao Chen, Michael J. Gans

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

3 Scopus citations

Abstract

We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart.

Original language	English (US)
Title of host publication	Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages	2215-2219
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2006.261944
State	Published - 2006
Event	2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States Duration: Jul 9 2006 → Jul 14 2006

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8101

Other

Other	2006 IEEE International Symposium on Information Theory, ISIT 2006
Country/Territory	United States
City	Seattle, WA
Period	7/9/06 → 7/14/06

Keywords

Achievable rate region
Sum capacity
Vector gaussian interference channels

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

Access to Document

10.1109/ISIT.2006.261944

Cite this

Shang, X, Chen, B & Gans, MJ 2006, On achievable sum rate for vector Gaussian interference channels. in Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006., 4036363, IEEE International Symposium on Information Theory - Proceedings, pp. 2215-2219, 2006 IEEE International Symposium on Information Theory, ISIT 2006, Seattle, WA, United States, 7/9/06. https://doi.org/10.1109/ISIT.2006.261944

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title = "On achievable sum rate for vector Gaussian interference channels",

abstract = "We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart.",

keywords = "Achievable rate region, Sum capacity, Vector gaussian interference channels",

author = "Xiaohu Shang and Biao Chen and Gans, {Michael J.}",

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language = "English (US)",

isbn = "1424405041",

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

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note = "2006 IEEE International Symposium on Information Theory, ISIT 2006 ; Conference date: 09-07-2006 Through 14-07-2006",

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AU - Shang, Xiaohu

AU - Chen, Biao

AU - Gans, Michael J.

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N2 - We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart.

AB - We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart.

KW - Achievable rate region

KW - Sum capacity

KW - Vector gaussian interference channels

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DO - 10.1109/ISIT.2006.261944

M3 - Conference contribution

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SN - 9781424405046

T3 - IEEE International Symposium on Information Theory - Proceedings

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BT - Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006

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ER -

On achievable sum rate for vector Gaussian interference channels

Abstract

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Keywords

ASJC Scopus subject areas

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