Noisy-interference sum-rate capacity for vector gaussian interference channels

Xiaohu Shang; H. Vincent Poor

doi:10.1109/TIT.2012.2216502

Noisy-interference sum-rate capacity for vector gaussian interference channels

Xiaohu Shang, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize and extend the existing results. More concise conditions for multiple-input single-output, and single-input multiple-output scenarios are obtained.

Original language	English (US)
Article number	6293894
Pages (from-to)	132-153
Number of pages	22
Journal	IEEE Transactions on Information Theory
Volume	59
Issue number	1
DOIs	https://doi.org/10.1109/TIT.2012.2216502
State	Published - 2013

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Library and Information Sciences

Keywords

Capacity
interference
multiple-input multiple-output

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10.1109/TIT.2012.2216502

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abstract = "New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize and extend the existing results. More concise conditions for multiple-input single-output, and single-input multiple-output scenarios are obtained.",

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AU - Shang, Xiaohu

AU - Poor, H. Vincent

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AB - New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize and extend the existing results. More concise conditions for multiple-input single-output, and single-input multiple-output scenarios are obtained.

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KW - multiple-input multiple-output

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Noisy-interference sum-rate capacity for vector gaussian interference channels

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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