Stacked Intelligent Metasurface Enabled Near-Field Multiuser Beamfocusing in the Wave Domain
Open accessAbstract
Intelligent surfaces represent a breakthrough technology capable of customizing the wireless channel cost-effectively. However, the existing works generally focus on planar wavefront, neglecting near-field spherical wavefront characteristics caused by large array aperture and high operation frequencies in the terahertz (THz). Additionally, the single-layer reconfigurable intelligent surface (RIS) lacks the signal processing ability to mitigate the computational complexity at the base station (BS). To address this issue, we introduce a novel stacked intelligent metasurfaces (SIM) comprised of an array of programmable metasurface layers. The SIM aims to substitute conventional digital baseband architecture to execute computing tasks with ultra-low processing delay, albeit with a reduced number of radio-frequency (RF) chains and low-resolution digital-to-analog converters. In this paper, we present a SIM-aided multiuser multiple-input single-output (MU-MISO) near-field system, where the SIM is integrated into the BS to perform beamfocusing in the wave domain and customize an end-to-end channel with minimized inter-user interference. Finally, the numerical results demonstrate that near-field communication achieves superior spatial gain over the far-field, and the SIM effectively suppresses inter-user interference as the wireless signals propagate through it.
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Li et al. [100] explored integrating SIMs into APs to improve the spectrum and energy efficiency of uplink CF systems.
“To tackle these issues, Li et al. [100] explored integrating SIMs into APs to improve the spectrum and energy efficiency of the uplink CF systems.”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [100]
The Introduction and Conclusion describe integrating a SIM into a base station, and Section IV evaluates the resulting system sum rate. But Section IV explicitly studies a downlink MU-MISO system, not an uplink cell-free system with SIM-equipped access points; the cited passages also do not establish an energy-efficiency improvement. (LLM, conf=0.88)
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Cites
All-optical machine learning using diffractive deep neural networks
Lin, X., Rivenson, Y., Yardimci, N. T., Veli, M., Luo, Y., Jarrahi, M., & Ozcan, A. (2018) · Science · doi:10.1126/science.aat8084 · Cited by 2,568 · see citing works
Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization
Abeywickrama, S., Zhang, R., Wu, Q., & Yuen, C. (2020) · International Conference on Communications · doi:10.1109/icc40277.2020.9148961 · Cited by 915 · see citing works
Self-citationA programmable diffractive deep neural network based on a digital-coding metasurface array
Liu, C., Ma, Q., Luo, Z. J., Hong, Q. R., Xiao, Q., Zhang, H. C., Miao, L., Yu, W. M., Cheng, Q., Li, L., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00719-9 · Cited by 633 · see citing works
Near-Field Communications: A Tutorial Review
Liu, Y., Wang, Z., Xu, J., Ouyang, C., Mu, X., & Schober, R. (2023) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2023.3305583 · Cited by 600 · see citing works
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 · see citing works
Self-citationCommunicating With Extremely Large-Scale Array/Surface: Unified Modeling and Performance Analysis
Lu, H., & Zeng, Y. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3126384 · Cited by 304 · see citing works
Multiple Access for Near-Field Communications: SDMA or LDMA?
Wu, Z., & Dai, L. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3275616 · Cited by 268 · see citing works
Stacked Intelligent Metasurface-Aided MIMO Transceiver Design
An, J., Yuen, C., Xu, C., Li, H., Ng, D. W. K., Renzo, M. D., Debbah, M. A., & Hanzo, L. (2024) · IEEE Wireless Communications · doi:10.1109/mwc.013.2300259 · Cited by 181 · see citing works
Self-citationCodebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges
An, J., Xu, C., Wu, Q., Ng, D. W. K., Di Renzo, M., Yuen, C., & Hanzo, L. (2024) · IEEE Wireless Communications · doi:10.1109/mwc.010.2200312 · Cited by 169 · see citing works
Self-citationStacked Intelligent Metasurfaces for Multiuser Beamforming in the Wave Domain
An, J., Renzo, M. D., Debbah, M. A., & Yuen, C. (2023) · International Conference on Communications · doi:10.1109/icc45041.2023.10279173 · Cited by 106 · see citing works
Self-citationEnabling More Users to Benefit From Near-Field Communications: From Linear to Circular Array
Wu, Z., Cui, M., & Dai, L. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3310912 · Cited by 77 · see citing works
Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
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“…antenna arrays (ELAAs) and terahertz (THz) communications are promising technologies for sixth-generation (6G) to achieve ultra-high energy and spectrum efficiency [1], [2], which, however, caused a significant extension of the near-field region, characterized by spherical wavefront [3], [4].”
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Jia, X., An, J., Liu, H., Liao, H., Gan, L., & Yuen, C. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3265399 · Cited by 35 · see citing works
Self-citationNear-Field Beamforming Optimization for Holographic XL-MIMO Multiuser Systems
Li, Y., Gong, S., Liu, H., Xing, C., Zhao, N., & Wang, X. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3338737 · Cited by 33 · see citing works
Self-citationFrequency-Dependent Beamforming for RIS-Assisted Wideband Terahertz Systems
Wu, J., & Shim, B. (2023) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2023-spring57618.2023.10200948 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- J. An, M. Di Renzo, M. Debbah, and C. Yuen, "Stacked intelligent metasurfaces enabled multiuser beamforming in the wave domain," in Proc. IEEE Int. Conf. Commun. (ICC), Rome, Italy, May. 2023.
Cited by
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Renzo, M. D. (2025) · European Conference on Antennas and Propagation · doi:10.23919/eucap63536.2025.10999805 · Cited by 10 · see citing works
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An, J., Yuen, C., Renzo, M. D., Bennis, M., Debbah, M. A., & Hanzo, L. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3720502 · Cited by 4 · see citing works
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Galappaththige, D., & Tellambura, C. (2025) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2025.3623872
Abrardo, A., & Toccafondi, A. (2025) · IEEE Radio and Antenna Days of the Indian Ocean (RADIO) · doi:10.1109/radio65825.2025.11296372
Cao, Y., & Peng, W. (2026) · IEEE Wireless Communications · doi:10.1109/mwc.2026.3679500
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Niu, H., An, J., Shi, E., Li, Z., Gan, L., Zhang, J., Chatzinotas, S., & Yuen, C. (2026) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2026.3729450
Self-citationHongyi, 葛. G., Yuan, X., Yuying, 蒋. J., Jing, 王. W., Wenyue, 曹. C., Quanshu, 王. W., & Shun, 王. W. (2026) · Acta Optica Sinica (Online) · doi:10.3788/aosol260534
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Self-citation
- Authors
- Jia, X., An, J., Liu, H., Gan, L., Di Renzo, M., Debbah, M., & Yuen, C.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- Nanyang Technological University (SG)
- Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systémes,Gif-sur-Yvette,France,91192
- Khalifa University of Science and Technology,KU 6G Research Center,Abu Dhabi,UAE,P O Box 127788
- Venue
- 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
- Publisher
- IEEE
- Published
- 2024-06-24
- Pages
- 1-5
- ISSN
- 1090-3038 (ISSN-L)
- OpenAlex
- W4402834851
- Cited by
- 19
- References
- 14
- Citations by year
- 2026: 10 · 2025: 9
- FWCI
- 14.56
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Vehicular Technology Conference (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Aerospace Engineering › Advanced Antenna and Metasurface Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Keywords
- stacked intelligent metasurfaces, reconfigurable intelligent surface, near field communication, terahertz communication, inter-user interference suppression, spherical wavefront
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