The DOI matches its Crossref record.
Gaussian Interference Channel Capacity to Within One Bit
Open accessAbstract
The capacity of the two-user Gaussian interference channel has been open for 30 years. The understanding on this problem has been limited. The best known achievable region is due to Han and Kobayashi but its characterization is very complicated. It is also not known how tight the existing outer bounds are. In this work, we show that the existing outer bounds can in fact be arbitrarily loose in some parameter ranges, and by deriving new outer bounds, we show that a very simple and explicit Han-Kobayashi type scheme can achieve to within a single bit per second per hertz (bit/s/Hz) of the capacity for all values of the channel parameters. We also show that the scheme is asymptotically optimal at certain high signal-to-noise ratio (SNR) regimes. Using our results, we provide a natural generalization of the point-to-point classical notion of degrees of freedom to interference-limited scenarios.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions
Clerckx, B., Mao, Y., Jorswieck, E. A., Yuan, J., Love, D. J., Erkip, E., & Niyato, D. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3242718 · Cited by 412
Lei, L., Yuan, D., Ho, C. K., & Sun, S. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2616310 · Cited by 328
Bounds and Capacity Theorems for Cognitive Interference Channels with State
Liang, R. D. Y. (2012) · arXiv · doi:10.48550/arxiv.1207.0016 · Cited by 3
Metadata
- Authors
- Etkin, R. H., Tse, D. N. C., & Wang, H.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2008-12
- Volume
- 54
- Issue
- 12
- Pages
- 5534-5562
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2157989362
- Cited by
- 1,370
- References
- 0
- FWCI
- 254.59
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Gaussian Interference Channel Capacity to Within One Bit. https://app.cochat.ai/papers/10.1109/tit.2008.2006447
- The paper
- Etkin, R. H., Tse, D. N. C., & Wang, H. (2008). Gaussian Interference Channel Capacity to Within One Bit. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2008.2006447
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.