A New Outer Bound and the Noisy-Interference Sum–Rate Capacity for Gaussian Interference Channels
By Xiaohu Shang, Gerhard Kramer, Biao Chen. IEEE Transactions on Information Theory, 2007
458 citations recorded by the source corpus.
A new outer bound on the capacity region of Gaussian interference channels is developed. The bound combines and improves existing genie-aided methods and is shown to give the sum-rate capacity for noisy interference as defined in this paper. Specifically, it is shown that if the channel crosstalk coefficient magnitudes lie below thresholds defined by the power constraints then single-user detection at each receiver is sum-rate optimal, i.e., treating the interference as noise incurs no loss in performance. This is the first capacity result for the Gaussian interference channel with weak to moderate interference. Furthermore, for certain mixed (weak and strong) interference scenarios, the new outer bounds give a corner point of the capacity region.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d438d5d4495ead9be9d41f3e7af8959aebefb958
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Rui Zhang
- Syed Ali Jafar
- V. Sreekanth Annapureddy
- Venugopal V. Veeravalli
- Martin Haenggi
- Andrea J. Goldsmith
In Electrical and Electronic Engineering
- Rui Zhang
- Syed Ali Jafar
- Liang Liu
- Martin Haenggi
- Kee Chaing Chua
- Emil Björnson
- Jeffrey G. Andrews
- Viveck R. Cadambe
Citations in the corpus
- Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel (2008, background): “However, information theoretic validation for this approach has only recently been obtained through several concurrent works [10], [13], [14], [17].”
- Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective (2009, background): “KEYWORDS | Capacity; cognitive radio; degrees of freedom; interweave; overlay; side information; underlay”
- Wireless Information Transfer with Opportunistic Energy Harvesting (2012, background): “, decoding the interference when it is strong [7] or treating the interference as noise when it is weak [8], [9].”
- Interference in Large Wireless Networks (2009, background): “While not optimum in general, treating interference as noise is, in fact, optimum in the Gaussian weak interference or noisy interference regime [42].”
- Cognitive radio networks (2008, unknown): “Although the channel capacity region is known in certain cases, the general capacity region, despite promising recent advances [1], [2], remains a mystery.”
- Gaussian Interference Networks: Sum Capacity in the Low-Interference Regime and New Outer Bounds on the Capacity Region (2008, methodology): “Similar results were established in parallel by Shang, Kramer, and Chen [ 11 ], and Motahari and Khandani [12].”