The DOI matches its Crossref record, with a small difference in title or year.
RF Imperfections in High-rate Wireless Systems
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A practical system, however, has many imperfections and non-linearities [4] (e.g., non-linear power amplifiers (PAs), finite resolution quantization) that can only be approximately captured by such models.”
From An Introduction to Deep Learning for the Physical Layer (2017) · cites this paper as [4]
Citations
Cited by
An Introduction to Deep Learning for the Physical Layer
O'Shea, T., & Hoydis, J. (2017) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2017.2758370 · Cited by 2,980
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
MIMO transmission with residual transmit-RF impairments
Studer, C., Wenk, M., & Burg, A. (2010) · 2010 International ITG Workshop on Smart Antennas (WSA) · doi:10.1109/wsa.2010.5456453 · Cited by 296
OFDM-Autoencoder for End-to-End Learning of Communications Systems
Felix, A., Cammerer, S., Dorner, S., Hoydis, J., & Ten Brink, S. (2018) · 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · doi:10.1109/spawc.2018.8445920 · Cited by 283
Metadata
- Authors
- Schenk, T.
- Publisher
- Springer Netherlands
- Published
- 2008
- Cited by
- 616
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: RF Imperfections in High-rate Wireless Systems. https://app.cochat.ai/papers/10.1007/978-1-4020-6903-1
- The paper
- Schenk, T. (2008). RF Imperfections in High-rate Wireless Systems. https://doi.org/10.1007/978-1-4020-6903-1
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.
