The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Reconfigurable intelligent surfaces for wireless communications: Overview of hardware designs, channel models, and estimation techniques
Open accessAbstract
The demanding objectives for the future sixth generation (6G) of wireless communication networks have spurred recent research efforts on novel materials and radio-frequency front-end architectures for wireless connectivity, as well as revolutionary communication and computing paradigms. Among the pioneering candidate technologies for 6G belong the reconfigurable intelligent surfaces (RISs), which are artificial planar structures with integrated electronic circuits that can be programmed to manipulate the incoming electromagnetic field in a wide variety of functionalities. Incorporating RISs in wireless networks have been recently advocated as a revolutionary means to transform any wireless signal propagation environment to a dynamically programmable one, intended for various networking objectives, such as coverage extension and capacity boosting, spatiotemporal focusing with benefits in energy efficiency and secrecy, and low electromagnetic field exposure. Motivated by the recent increasing interests in the field of RISs and the consequent pioneering concept of the RIS-enabled smart wireless environments, in this paper, we overview and taxonomize the latest advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation. We also present a thorough overview of the channel estimation approaches for RIS-empowered communications systems, which constitute a prerequisite step for the optimized incorporation of RISs in future wireless networks. Finally, we discuss the relevance of the RIS technology in the latest wireless communication standards, and highlight the current and future standardization activities for the RIS technology and the consequent RIS-empowered wireless networking approaches.
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Cites
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
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Self-citationWireless 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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Time reversal of ultrasonic fields. I. Basic principles
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Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
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Cited by
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
Self-citationGong, T., Gavriilidis, P., Ji, R., Huang, C., Alexandropoulos, G. C., Wei, L., Zhang, Z., Debbah, M., Poor, H. V., & Yuen, C. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3309529 · Cited by 328
Self-citationBasar, E., Alexandropoulos, G. C., Liu, Y., Wu, Q., Jin, S., Yuen, C., Dobre, O. A., & Schober, R. (2024) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2024.3415570 · Cited by 232
Self-citationEfficient Beamforming and Radiation Pattern Control Using Stacked Intelligent Metasurfaces
Hassan, N. U., An, J., Di Renzo, M., Debbah, M., & Yuen, C. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2023.3349155 · Cited by 55
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Metadata
- Authors
- Jian, M., Alexandropoulos, G. C., Basar, E., Huang, C., Liu, R., Liu, Y., & Yuen, C.
- Venue
- Intelligent and Converged Networks
- Published
- 2022-03
- Volume
- 3
- Issue
- 1
- Pages
- 1-32
- ISSN
- 2708-6240 (ISSN-L)
- OpenAlex
- W4221160263
- Cited by
- 388
- References
- 126
- FWCI
- 22.69
- Type
- journal article
- Language
- en
- Open access
- diamond
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