The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities
Open accessAbstract
Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces (RIS) in wireless networks to create smart radio environments. In a smart radio environment, surfaces are capable of manipulating the propagation of incident electromagnetic waves in a programmable manner to actively alter the channel realization, which turns the wireless channel into a controllable system block that can be optimized to improve overall system performance. In this article, we provide a tutorial overview of reconfigurable intelligent surfaces (RIS) for wireless communications. We describe the working principles of reconfigurable intelligent surfaces (RIS) and elaborate on different candidate implementations using metasurfaces and reflectarrays. We discuss the channel models suitable for both implementations and examine the feasibility of obtaining accurate channel estimates. Furthermore, we discuss the aspects that differentiate RIS optimization from precoding for traditional MIMO arrays highlighting both the arising challenges and the potential opportunities associated with this emerging technology. Finally, we present numerical results to illustrate the power of an RIS in shaping the key properties of a MIMO channel.
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Cites
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Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
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Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
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Wireless Communications Through Reconfigurable Intelligent Surfaces
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Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
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Cited by
Active Reconfigurable Intelligent Surface-Aided Wireless Communications
Long, R., Liang, Y.-C., Pei, Y., & Larsson, E. G. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3064024 · Cited by 718
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021) · Sensors · doi:10.3390/s21051709 · Cited by 281
Zhang, H., Zeng, S., Di, B., Tan, Y., Di Renzo, M., Debbah, M., Han, Z., Poor, H. V., & Song, L. (2022) · IEEE Communications Magazine · doi:10.1109/mcom.001.201097 · Cited by 218
Self-citationIntelligent Omni-Surfaces: Ubiquitous Wireless Transmission by Reflective-Refractive Metasurfaces
Zhang, S., Zhang, H., Di, B., Tan, Y., Di Renzo, M., Han, Z., Vincent Poor, H., & Song, L. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3094869 · Cited by 196
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Metadata
- Authors
- ElMossallamy, M. A., Zhang, H., Song, L., Seddik, K. G., Han, Z., & Li, G. Y.
- Venue
- IEEE Transactions on Cognitive Communications and Networking
- Published
- 2020-09
- Volume
- 6
- Issue
- 3
- Pages
- 990-1002
- ISSN
- 2332-7731 (ISSN-L)
- 2372-2045
- OpenAlex
- W3021099104
- Cited by
- 892
- References
- 59
- FWCI
- 37.13
- Type
- journal article
- Language
- en
- Open access
- green
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- ElMossallamy, M. A., Zhang, H., Song, L., Seddik, K. G., Han, Z., & Li, G. Y. (2020). Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities. IEEE Transactions on Cognitive Communications and Networking. https://doi.org/10.1109/tccn.2020.2992604
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