Noisy-Interference Sum-Rate Capacity for Vector Gaussian Interference Channels

Computer Science – Information Theory

Scientific paper

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43 pages, 2 figures, submitted to IEEE trans. on Information Theory on May 13, 2011

Scientific paper

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

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