The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator
Open accessAbstract
In a wireless system with Intelligent Reflective Surfaces (IRS) containing many passive elements, we consider the problem of channel estimation. All the links from the transmitter to the receiver via each IRS elements (or groups) are estimated. We show that the estimation performance are dependent on the setting of the IRS, and design an optimal channel estimation scheme where the IRS elements follow an optimal series of activation patterns. The optimal design is guided by results for the minimum variance unbiased estimation. The IRS setting during the channel estimation period mimics the discrete Fourier transforms. We show theoretically and with simulations that the estimation variance is one order smaller compared to existing methods with on/off IRS activation patterns as proposed in the literature.
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
Cites
Fundamentals of Statistical Signal Processing: Estimation Theory
Sengijpta, S. K. (1995) · Technometrics · doi:10.1080/00401706.1995.10484391 · Cited by 11,076
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
Wu, Q., & Zhang, R. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2936025 · Cited by 4,566
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
Huang, C., Zappone, A., Alexandropoulos, G. C., Debbah, M., & Yuen, C. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2922609 · Cited by 3,761
Fundamentals Of Statistical Signal Processing
Kay, S. (2001) · International Linear Collider · Cited by 3,642
Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization
Zheng, B., & Zhang, R. (2020) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2019.2961357 · Cited by 876
Wu, Q., & Zhang, R. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM) · doi:10.1109/glocom.2018.8647620 · Cited by 812
Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO
He, Z.-Q., & Yuan, X. (2020) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2019.2948632 · Cited by 782
Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization
Yang, Y., Zheng, B., Zhang, S., & Zhang, R. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.2981458 · Cited by 775
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning
Taha, A., Alrabeiah, M., & Alkhateeb, A. (2021) · IEEE Access · doi:10.1109/access.2021.3064073 · Cited by 754
Mishra, D., & Johansson, H. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2019.8683663 · Cited by 606
Cited by
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Wang, Z., Liu, L., & Cui, S. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3004330 · Cited by 914
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications
Bjornson, E., Wymeersch, H., Matthiesen, B., Popovski, P., Sanguinetti, L., & de Carvalho, E. (2022) · IEEE Signal Processing Magazine · doi:10.1109/msp.2021.3130549 · Cited by 507
Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G
An, J., Xu, C., Ng, D. W. K., Alexandropoulos, G. C., Huang, C., Yuen, C., & Hanzo, L. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288261 · Cited by 358
Metadata
- Authors
- Jensen, T. L., & De Carvalho, E.
- Venue
- ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Publisher
- IEEE
- Published
- 2020-05
- Pages
- 5000-5004
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2974797780
- Cited by
- 423
- References
- 15
- FWCI
- 101.62
- Type
- conference paper
- 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: An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator. https://app.cochat.ai/papers/10.1109/icassp40776.2020.9053695
- The paper
- Jensen, T. L., & De Carvalho, E. (2020). An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp40776.2020.9053695
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.
