The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions
Abstract
5G radio for millimeter-wave (mm-wave) and beyond5G concepts at 0.1-1 THz can exploit angle and delay measurements for localization through an increased bandwidth and large antenna arrays, but they are limited in terms of blockage caused by obstacles. Reconfigurable intelligent surfaces (RISs) are seen as a transformative technology that can control the physical propagation environment in which they are embedded by passively reflecting radio waves in preferred directions and actively sensing this environment in receive and transmit modes. While such RISs have mainly been intended for communication purposes, they can provide great benefits in terms of performance, energy consumption, and cost for localization and mapping. These benefits as well as associated challenges are the main topics of this article.
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Citations
Cites
Jung, M., Saad, W., Jang, Y., Kong, G., & Choi, S. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2961990 · Cited by 242
Cited by
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
Self-citationReconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
Elzanaty, A., Guerra, A., Guidi, F., & Alouini, M.-S. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3101644 · Cited by 336
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
He, J., Wymeersch, H., & Juntti, M. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3070064 · Cited by 319
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Metadata
- Authors
- Wymeersch, H., He, J., Denis, B., Clemente, A., & Juntti, M.
- Venue
- IEEE Vehicular Technology Magazine
- Published
- 2020-12
- Volume
- 15
- Issue
- 4
- Pages
- 52-61
- ISSN
- 1556-6072 (ISSN-L)
- 1556-6080
- OpenAlex
- W3092446067
- Cited by
- 326
- References
- 1
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wymeersch, H., He, J., Denis, B., Clemente, A., & Juntti, M. (2020). Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions. IEEE Vehicular Technology Magazine. https://doi.org/10.1109/mvt.2020.3023682
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