Capacity regions and sum-rate capacities of vector Gaussian interference channels

Authors:
Xiaohu Shang;Biao Chen;Gerhard Kramer;H. Vincent Poor
Affiliations:
Princeton University, Department of Electrical Engineering, Princeton, NJ and Syracuse University, Syracuse, NY;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY;Department of Electrical Engineering, University of Southern California, Los Angeles, CA and Bell Labs, Alcatel-Lucent, Murray Hill, NJ;Department of Electrical Engineering and the School of Engineering and Applied Science, Princeton University, Princeton, NJ
Venue:
IEEE Transactions on Information Theory
Year:
2010

Citing 17
Cited 2

Matrix analysis

Matrix analysis
Feedback can at most double gaussian multiple access channel capacity

IEEE Transactions on Information Theory
Claude Elwood Shannon: collected papers

Claude Elwood Shannon: collected papers
Matrix computations (3rd ed.)

Matrix computations (3rd ed.)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)

Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Review of Rate Regions for Interference Channels

IZS '06 Proceedings of the 2006 International Zurich Seminar on Communications
Capacity bounds for the Gaussian interference channel

IEEE Transactions on Information Theory
A new outer bound and the noisy-interference sum-rate capacity for Gaussian interference channels

IEEE Transactions on Information Theory
Gaussian interference networks: sum capacity in the low-interference regime and new outer bounds on the capacity region

IEEE Transactions on Information Theory
New sum-rate upper bound for the two-user Gaussian interference channel

ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
The worst additive noise under a covariance constraint

IEEE Transactions on Information Theory
Outer bounds on the capacity of Gaussian interference channels

IEEE Transactions on Information Theory
On achievable rate regions for the Gaussian interference channel

IEEE Transactions on Information Theory
On the Achievable Sum Rate for MIMO Interference Channels

IEEE Transactions on Information Theory
On The Han–Kobayashi Region for theInterference Channel

IEEE Transactions on Information Theory
Gaussian Interference Channel Capacity to Within One Bit

IEEE Transactions on Information Theory
Noisy-Interference Sum-Rate Capacity of Parallel Gaussian Interference Channels

IEEE Transactions on Information Theory

Monotonic optimization framework for the two-user MISO interference channel

IEEE Transactions on Communications
MIMO Z-interference channels: capacity under strong and noisy interference

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers

Quantified Score

Hi-index	754.84

Visualization

Abstract

The capacity regions of vector, or multiple-input multiple-output, Gaussian interference channels are established for very strong interference and aligned strong interference. Furthermore, the sum-rate capacities are established for Z interference, noisy interference, and mixed (aligned weak/intermediate and aligned strong) interference. These results generalize known results for scalar Gaussian interference channels.