Noisy-Interference Sum-Rate Capacity for Vector Gaussian Interference Channels
Information Theory
2016-11-17 v1 math.IT
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 the existing results. More concise conditions for multiple-input-single-output, and single-input-multiple-output scenarios are obtained.
Cite
@article{arxiv.1108.0870,
title = {Noisy-Interference Sum-Rate Capacity for Vector Gaussian Interference Channels},
author = {Xiaohu Shang and H. Vincent Poor},
journal= {arXiv preprint arXiv:1108.0870},
year = {2016}
}
Comments
43 pages, 2 figures, submitted to IEEE trans. on Information Theory on May 13, 2011