The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in Future Wireless Networks
Open accessAbstract
Reconfigurable intelligent surface (RIS)-empowered communication is one of the promising 6G technologies that allows the conversion of the wireless channel into an intelligent transmit entity by manipulating the impinging waves using man-made surfaces. In this paper, the potential benefits of using RISs are investigated for indoor/outdoor setups and various frequency bands (from sub 6 GHz to millimeter-waves). First, a general system model with a single RIS is considered and the effect of the total number of reflecting elements on the probabilistic distribution of the received signal-to-noise ratio and error performance is investigated under Rician fading. Also for this case, the path loss exponent is analyzed by considering empirical path loss models. Furthermore, transmission models with multiple RISs are developed and analyzed for indoor and outdoor non line-of-sight (NLOS) scenarios. The conventional RIS selection strategies are also integrated for systems equipped with multiple RISs for the first time. Through extensive simulations, it is demonstrated that the RIS-assisted systems provide promising solutions for indoor/outdoor scenarios at various operating frequencies and exhibit significant results in error performance and achievable data rates even in the presence of system imperfections such as limited range phase adjustment and imperfect channel phase estimation at RISs.
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
(2007) · Electronics: A First Course · doi:10.4324/9780080477527-64 · Cited by 24,923
Wireless Communications: Principles and Practice
Rappaport, T. S. (1996) · Cited by 17,370
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
Wireless Communications Through Reconfigurable Intelligent Surfaces
Basar, E., Di Renzo, M., De Rosny, J., Debbah, M., Alouini, M.-S., & Zhang, R. (2019) · IEEE Access · doi:10.1109/access.2019.2935192 · Cited by 3,394
Self-citationDai, L., Wang, B., Yuan, Y., Han, S., Chih-lin, I., & Wang, Z. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7263349 · Cited by 2,943
Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., Alkhateeb, A., & Trichopoulos, G. C. (2019) · IEEE Access · doi:10.1109/access.2019.2921522 · Cited by 2,617 · cited 1×
“Despite the high expectations, 5G has not brought these sophisticated applications into reality to date [3].”
BackgroundThe Roadmap to 6G: AI Empowered Wireless Networks
Letaief, K. B., Chen, W., Shi, Y., Zhang, J., & Zhang, Y.-J. A. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1900271 · Cited by 2,207
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Renzo, M. D., Debbah, M., Phan-Huy, D.-T., Zappone, A., Alouini, M.-S., Yuen, C., Sciancalepore, V., Alexandropoulos, G. C., Hoydis, J., Gacanin, H., et al. (2019) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-019-1438-9 · Cited by 1,717
Rappaport, T. S., Xing, Y., MacCartney, G. R., Molisch, A. F., Mellios, E., & Zhang, J. (2017) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2017.2734243 · Cited by 1,493
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Huang, C., Hu, S., Alexandropoulos, G. C., Zappone, A., Yuen, C., Zhang, R., Renzo, M. D., & Debbah, M. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900534 · Cited by 1,342
Cited by
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
Bjornson, E., & Sanguinetti, L. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3020925 · Cited by 423
Metadata
- Authors
- Yildirim, I., Uyrus, A., & Basar, E.
- Venue
- IEEE Transactions on Communications
- Published
- 2021-02
- Volume
- 69
- Issue
- 2
- Pages
- 1290-1301
- ISSN
- 0090-6778 (ISSN-L)
- 1558-0857
- OpenAlex
- W3096188699
- Cited by
- 313
- References
- 30
- FWCI
- 14.77
- 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: Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in Future Wireless Networks. https://app.cochat.ai/papers/10.1109/tcomm.2020.3035391
- The paper
- Yildirim, I., Uyrus, A., & Basar, E. (2021). Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in Future Wireless Networks. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2020.3035391
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.
