The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Uplink Wave-Domain Combiner for Stacked Intelligent Metasurfaces Accounting for Hardware Limitations
Open accessAbstract
Refractive metasurfaces (RMTSs) offer a promising solution to improve energy efficiency of wireless systems. To address the limitations of single-layer RMTSs, stacked intelligent metasurfaces (SIMs), which form the desired precoder and combiner in the wave domain, have been proposed. However, previous analyses have overlooked hardware non-idealities that significantly affect SIM performance. In this paper, we study the achievable sum-rate of SIM antennas in an uplink scenario, accounting for hardware constraints. We propose a system model that includes noise and hardware effects, formulate a non-convex sum-rate optimization problem, and solve it using gradient ascent and interior point methods. We compare SIMs and digital phased arrays (DPAs) under Rayleigh fading and 3GPP channels with two conditions: an equal number of$\mathbf{R F}$chains and an equal physical aperture size. Our results show SIMs outperform DPAs under equal number of RF chains but underperform DPAs with equal aperture size.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Rezvani et al. investigated a SIM-aided uplink communication scenario and proposed an interior point method to maximize the sum rate while accounting for hardware imperfections; the results showed that SIM can outperform digital phased arrays with the same number of radiofrequency chains under realistic 3GPP channels.
“By contrast, Rezvani et al. [84] investigated a SIM-aided uplink communication scenario, proposing an interior point method to maximize the sum rate while accounting for hardware imperfections. The results showed that SIM can outperform digital phased arrays with the same number of RF chains under realistic 3GPP channels.”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [84]
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
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
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
Metamaterial Huygens’ Surfaces: Tailoring Wave Fronts with Reflectionless Sheets
Pfeiffer, C., & Grbic, A. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.197401 · Cited by 1,760
QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials
Jaeckel, S., Raschkowski, L., Börner, K., & Thiele, L. (2014) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2014.2310220 · Cited by 1,062
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
Méndez-Rial, R., Rusu, C., Prelcic, N. G., Alkhateeb, A., & Heath, R. W. (2016) · IEEE Access · doi:10.1109/access.2015.2514261 · Cited by 887
A 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
Introduction to Fourier Optics
Goodman, J. W., & Cox, M. E. (1969) · Physics Today · doi:10.1063/1.3035549 · Cited by 467
Bhattacharyya, A. K. (2005) · Wiley eBooks · doi:10.1002/0471769126 · Cited by 467
Huygens’ metasurfaces via the equivalence principle: design and applications
Epstein, A. J., & Eleftheriades, G. V. (2016) · Journal of the Optical Society of America B · doi:10.1364/josab.33.000a31 · Cited by 392
Analysis of a Waveguide-Fed Metasurface Antenna
Smith, D. R., Yurduseven, O., Pulido-Mancera, L., Bowen, P., & Kundtz, N. B. (2017) · Physical Review Applied · doi:10.1103/physrevapplied.8.054048 · Cited by 360
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
6G Vision, Value, Use Cases and Technologies From European 6G Flagship Project Hexa-X
Uusitalo, M. A., Rugeland, P., Boldi, M. R., Strinati, E. C., Demestichas, P., Ericson, M., Fettweis, G. P., Filippou, M. C., Gati, A., Hamon, M., et al. (2021) · IEEE Access · doi:10.1109/access.2021.3130030 · Cited by 293
Chen, M. J., Abdo‐Sánchez, E., Epstein, A. J., & Eleftheriades, G. V. (2018) · Physical review. B./Physical review. B · doi:10.1103/physrevb.97.125433 · Cited by 182
Stacked Intelligent Metasurfaces for Holographic MIMO-Aided Cell-Free Networks
Li, Q., El-Hajjar, M., Xu, C., An, J., Yuen, C., & Hanzo, L. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3403499 · Cited by 175
Zhu, B., Chen, K., Jia, N., Sun, L. K., Zhao, J., Jiang, T., & Feng, Y. (2014) · Scientific Reports · doi:10.1038/srep04971 · Cited by 162
Stutzman, W. L., & Davis, W. A. (1999) · Wiley eBooks · doi:10.1002/047134608x.w1206 · Cited by 114
Di Renzo, M., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., de Rosny, J., & Tretyakov, S. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3007211 · Cited by 112
Achouri, K., & Caloz, C. (2021) · Wiley eBooks · doi:10.1002/9781119525219 · Cited by 109
Stacked 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
Papazafeiropoulos, A., An, J., Kourtessis, P., Ratnarajah, T., & Chatzinotas, S. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3399318 · Cited by 71
Channel Estimation for Stacked Intelligent Metasurface-Assisted Wireless Networks
Yao, X., An, J., Gan, L., Di Renzo, M., & Yuen, C. (2024) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2024.3369874 · Cited by 61
Epstein, A. J., & Eleftheriades, G. V. (2017) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2017.2670358 · Cited by 60
Efficient 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
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
Liu, K., Zhang, Z., Dai, L., & Hanzo, L. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3124953 · Cited by 49
Hua, Q., Huang, Y., Alieldin, A., Song, C., Jia, T., & Zhu, X. (2020) · IEEE Access · doi:10.1109/access.2020.2984199 · Cited by 39
Channel Estimation for Dynamic Metasurface Antennas
Rezvani, M., & Adve, R. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3328496 · Cited by 36
Self-citationRenzo, M. D. (2025) · European Conference on Antennas and Propagation · doi:10.23919/eucap63536.2025.10999805 · Cited by 15
Hardware Limitations of Dynamic Metasurface Antennas in the Uplink: A Comparative Study
Rezvani, M., Adve, R., El‐Keyi, A., & Sediq, A. B. (2024) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshp64532.2024.11100766 · Cited by 5
Self-citationHint: a Clue as to Where to Start an Iterative Massive MIMO Detection Process
Rezvani, M., Adve, R., Sediq, A. B., & El‐Keyi, A. (2023) · International Conference on Communications · doi:10.1109/icc45041.2023.10278946 · Cited by 2
Self-citationStacked Intelligent Metasurface Performs a 2D DFT in the Wave Domain for DOA Estimation
An, J., Yuen, C., Renzo, M. D., Debbah, M., Poor, H. V., & Hanzo, L. (2023) · arXiv · doi:10.48550/arxiv.2310.09861
Space-time processing for wireless communications
Paulraj, A. J. (n.d.) · 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1997.598843
Flagged first, then by citations
Research works printed but not linked: 9
- Balanis, 2016, Antenna Theory: Analysis and Design
- Balanis, 2012, Advanced Engineering Electromagnetics
- 2023, version 9.14.0 (R2023a)
- 2024, 3.95 GHz to 6.9 GHz, Tunable Low-Pass Filter
- 2024, Wideband, High Linearity, Low Noise Amplifier, 0.4 GHz to 7.5 GHz, ADL8104
- 2024, 2 GHz to 14 GHz Microwave Mixer with Wideband DC-6GHz IF
- 2024, 6GHz High Linearity I/Q Demodulator with Wideband IF Amplifier, LTC5586
- Bultitude, 2007, IST-4-027756 WINNER II D1.1.2 V1.2 WINNER II Channel Models
- Paulraj, 2003, Introduction to Space-Time Wireless Communications, 2, 1423
Cited by
Sorted by citations
Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2026) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2025.3571069 · Cited by 72
“By contrast, Rezvani et al. [84] investigated an SIM-aided uplink communication scenario, proposing an interior point method to maximize the sum rate while accounting for hardware imperfections.”
Renzo, M. D. (2025) · European Conference on Antennas and Propagation · doi:10.23919/eucap63536.2025.10999805 · Cited by 15
Yahya, H., Nerini, M., Clerckx, B., & Debbah, M. A. (2025) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2025.3564486 · Cited by 8
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 8
Energy Efficient Wireless Communications by Harnessing Huygens’ Metasurfaces
Rezvani, M., Adve, R., Sediq, A. B., & El‐Keyi, A. (2025) · IEEE Journal on Selected Areas in Information Theory · doi:10.1109/jsait.2025.3566321 · Cited by 5
Self-citationStacked Intelligent Metasurfaces: Key Technologies, Scenario Adaptation, and Future Directions
Liu, J., & Kong, J. (2026) · Electronics · doi:10.3390/electronics15020274 · Cited by 4
Efficient Beamforming for Discrete SIM-Aided Multiuser Systems Under Statistical CSI
Jiao, Y., Zhang, Q., Cheng, X., Li, Y., Zhao, Y., Liu, J., & Guan, Y. L. (2026) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc65185.2026.11555646 · Cited by 2
The Role of Excitation Schemes in the Functionality of Metasurface-based Antennas
Rezvani, M., Ataloglou, V. G., Adve, R. S., Eleftheriades, G. V., Sediq, A. B., & El‐Keyi, A. (2026) · International Conference on Communications · doi:10.1109/icc59461.2026.11588234 · Cited by 1
Self-citationEmerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2024) · arXiv · Cited by 72
“By contrast, Rezvani et al. [84] investigated an SIM-aided uplink communication scenario, proposing an interior point method to maximize the sum rate while accounting for hardware imperfections.”
A Framework for Energy Efficiency Optimization in HMA-Assisted MU-MIMO Systems
Ju, X., Xing, C., Liu, H., Gong, S., Zhao, N., & Niyato, D. T. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3606661
DRL-based Phase Shift Optimization for SIM-enabled Wireless System
Zaman, H. B. U., Baker, M. A., Ahmad, M., Mirza, A. F., Hassan, S. A., & Jung, H. (2025) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps68340.2025.11590961
Task Offloading for Stacked Intelligent Metasurface enabled MEC in Millimeter-Wave Communications
Yılmaz, S. S., & Özbek, B. (2026) · International Conference on Communications · doi:10.1109/icc59461.2026.11587072
Electromagnetically Consistent Modeling of Near-Field Channels With Metasurface Antennas
Rezvani, M., Adve, R. S., Sediq, A. B., & El‐Keyi, A. (2026) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops63917.2026.11586337
Self-citationNiu, 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
Metadata
- Authors
- Rezvani, M., Adve, R., Sediq, A. B., & El-Keyi, A.
- Affiliations
- University of Toronto (CA)
- Ericsson (Canada) (CA)
- Dept. of Electrical and Computer Engineering, University of Toronto,Toronto,Canada
- Venue
- ICC 2025 - IEEE International Conference on Communications
- Publisher
- IEEE
- Published
- 2025-06-08
- Pages
- 2424-2429
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W4414538632
- Cited by
- 12
- References
- 29
- Citations by year
- 2026: 6 · 2025: 6
- FWCI
- 26.18
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- International Conference on Communications (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Antenna and Metasurface Technologies
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Metamaterials and Metasurfaces Applications
- Keywords
- stacked intelligent metasurfaces, uplink transmission, sum rate maximization, non-convex optimization, RF chains, Rayleigh fading, energy efficiency
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