REVIEW 2 major objections 4 minor 55 references
Multiport Network Theory for Modeling and Optimizing Reconfigurable Metasurfaces
T0 review · 2 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read This survey argues that multiport network theory offers a physically consistent, tractable way to model and optimize reconfigurable intelligent surfaces, backed by simulations and measurements.
desk verdict A clean, useful survey of multiport network theory for RIS; no new research, but a fair roadmap that earns a referee look as a tutorial. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the multiport network model, in which the RIS and the antennas are represented by impedance (Z) or scattering (S) parameters, with tunable loads at the RIS ports standing in for the programmable unit cells. This machinery carries the argument because it converts electromagnetic behavior, especially mutual coupling and structural scattering, into a matrix form that can be calibrated from a small number of simulations or measurements, optimized with standard or custom algorithms, and embedded into communication-theoretic analyses.
What would settle it
Build a rich-scattering test environment, calibrate an MNT model using the minimal three-states-per-element-plus-coupling protocol, and then measure predicted versus actual channel matrices for unseen RIS configurations; if the calibrated model systematically fails to reproduce the measured performance or the coupling gains vanish, the claim of a validated compact model is falsified.
Extended reading notes
Core claim
The central claim is that multiport network theory is a convenient and electromagnetically consistent abstraction for RIS-aided networks: every element, whether transmitter, receiver, or scattering object, is a multiport circuit with loaded ports, and the performance metrics take a matrix form analogous to MIMO channel models. The paper further claims that this framework captures mutual coupling and structural scattering, that it yields tractable optimization algorithms, and that its accuracy has been validated both with full-wave electromagnetic simulations and with empirical measurements, including rich-scattering environments where the environment does not need to be explicitly modeled as long as its influence on the primary entities is captured correctly.
Load-bearing premise
The survey's positive conclusion depends on the cited validation studies, several co-authored by the authors themselves, being accurately summarized and representative of the broader literature, and the survey gives no procedural details that would let a reader independently verify those validations.
Editorial extensions
If this is right
- MNT-based optimization can explicitly account for mutual coupling and structural scattering, which may yield better RIS configurations than approaches that ignore these effects.
- Scattering-parameter formulations converge faster in optimization than impedance-based ones, making real-time or near-real-time tuning more feasible.
- A compact MNT model can be calibrated from a single full-wave simulation or from as few as three known states per RIS element plus neighbor coupling, even in rich scattering.
- Beyond-diagonal (fully connected) RIS architectures become tractable through physics-compliant diagonal representations, extending the same framework to more advanced hardware.
- The same circuit-based channel model feeds directly into channel estimation, energy efficiency, symbiotic radio, and conformal metasurface design problems.
Reading between the lines
- A natural next test is whether MNT calibration stays accurate when the RIS elements are strongly nonlinear or time-varying, since the surveyed works assume essentially linear, quasi-static tunable loads.
- The minimal-calibration result suggests MNT could serve as the basis for online learning of channel models in deployed networks, where measurement budgets are tight; this extension is not explicitly explored in the survey.
- The authors' call for models that avoid full-wave simulations points toward semi-analytical MNT parameterizations for arbitrary unit cells, which would close the gap between circuit abstractions and physical metasurface design.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript is a short survey of multiport network theory (MNT) as applied to reconfigurable intelligent surfaces (RISs) for wireless communications. It organizes recent literature into five categories: modeling, optimization, full-wave simulation validation, measurement-based validation, and applications. The stated thesis is that MNT is a powerful and validated tool for modeling and optimizing smart radio environments, with the caveat that further work is needed for general metasurfaces and simulation-free models.
Significance. The paper does not present original quantitative results; its contribution is a structured taxonomy and a citable assessment of a rapidly growing area. The reference list is broad and includes independent groups, and the explicit identification of open problems is a strength. If the surveyed literature is accurately summarized, the paper could serve as a useful entry point for researchers new to MNT-based RIS modeling. Its significance is nevertheless limited by its brevity and by the absence of critical quantitative comparison.
major comments (2)
- [Section I and throughout] The survey never defines multiport network theory or writes its basic equations (e.g., the impedance-parameter or scattering-parameter relations). A reader who is not already an expert cannot understand what distinguishes MNT from other circuit-based approaches, nor what 'electromagnetically consistent' means in this context. This is a load-bearing gap for a survey whose intended audience may be communication theorists. I recommend adding a short section or figure with the canonical MNT equations and a concrete example of a two-port RIS model.
- [Sections II.C and II.D and Conclusion] The claim that MNT's 'accuracy has been validated' is made without any quantitative detail about the cited simulation or measurement studies. Since the paper's own conclusion rests on this claim, the authors should either provide a representative summary of validation results (e.g., error metrics relative to full-wave simulations, number of test cases, frequency bands) or explicitly state that the cited papers report such validations, so that the claim is attributable rather than an unsupported assertion.
minor comments (4)
- [Section I] The word 'perfomance' should be 'performance'.
- [Section II.B] The phrase 'inherent non-linearly of the model' should be 'inherent nonlinearity of the model'.
- [References] Reference [38] appears to lack complete bibliographic information (no journal name or arXiv identifier), and the author name 'P. d. Hougne' in [37] is inconsistent with 'P. del Hougne' used elsewhere; the reference list should be checked for consistency.
- [Section II.D] The phrase 'the authors of [41] and [42]' is ambiguous because [41] and [42] are single-authored by one of the present authors; this should be rephrased to avoid the plural.
Circularity Check
No significant circularity: the survey makes no new technical claim and its literature-summary conclusion rests on external primary work, including independent groups.
full rationale
This paper is a short survey, not a technical derivation: it contains no equations, no fitted parameters, no simulations, and no new data. Its central assertion, that multiport network theory (MNT) is a powerful and validated tool for modeling and optimizing RIS-aided systems, is an evaluative summary of cited primary literature rather than a prediction generated from an input. The validation references do include works co-authored by the present authors, such as [27], [37], [41], and [42], but the survey also cites independent validation efforts, e.g., [12], [13], [17], [40], and [43], and the cited full-wave and measurement studies are externally checkable rather than defined into the conclusion. There is no step in which a result is equivalent by construction to its premises, no fitted input renamed as a prediction, no uniqueness theorem imported from the authors' own prior work, and no ansatz smuggled in via citation. Any weakness in the argument would be about whether the selection of cited works is representative or accurately summarized, which is a survey-quality concern rather than circularity. Under the rubric, this is an honest non-finding with score 0.
Assumptions & free parameters
assumptions (2)
- domain assumption The cited papers' models and validation results are accurately reported and representative of the state of the art.
- standard math Impedance and scattering parameter circuit theory is a valid electromagnetic abstraction for RIS-aided wireless systems.
Cite this review
Pith. "Pith review of Multiport Network Theory for Modeling and Optimizing Reconfigurable Metasurfaces." pith.science (2026). https://pith.science/paper/VVD7L7WM
@misc{pith2026241119685,
author = {Pith},
title = {Pith review of: Multiport Network Theory for Modeling and Optimizing Reconfigurable Metasurfaces},
year = {2026},
howpublished = {\url{https://pith.science/paper/VVD7L7WM}},
note = {Machine review of arXiv:2411.19685}
}
read the original abstract
Multiport network theory (MNT) is a powerful analytical tool for modeling and optimizing complex systems based on circuit models. We present an overview of current research on the application of MNT to the development of electromagnetically consistent models for programmable metasurfaces, with focus on reconfigurable intelligent surfaces for wireless communications.
Reference graph
Works this paper leans on
-
[27]
A. Abrardo, A. Toccafondi, and M. Di Renzo, “Design of re configurable intelligent surfaces by using S-parameter multiport netwo rk theory – Optimization and full-wave validation,” IEEE Transactions on Wireless Communications, pp. 1–1, 2024
work page 2024
-
[37]
J. Tapie, H. Prod’homme, M. F. Imani, and P . d. Hougne, “S ystematic physics-compliant analysis of over-the-air channel equal ization in RIS- parametrized wireless networks-on-chip,” IEEE Journal on Selected Areas in Communications , vol. 42, no. 8, pp. 2026–2038, 2024
work page 2026
-
[41]
Virtual VNA: Minimal-ambiguity scatte ring matrix estimation with load-tunable ports,
P . del Hougne, “Virtual VNA: Minimal-ambiguity scatte ring matrix estimation with load-tunable ports,” 2024. [Online]. Avai lable: https://arxiv.org/abs/2403.08074
arXiv 2024
-
[42]
——, “Virtual VNA 2.0: Ambiguity-free scattering matri x estimation by terminating inaccessible ports with tunable and coupled loads,”
-
[12]
S. Shen, B. Clerckx, and R. Murch, “Modeling and archite cture design of reconfigurable intelligent surfaces using scattering pa rameter network analysis,” IEEE Transactions on Wireless Communications , vol. 21, no. 2, pp. 1229–1243, 2022
work page 2022
-
[13]
J. A. Nossek, D. Semmler, M. Joham, and W. Utschick, “Phy sically consistent modeling of wireless links with reconfigurable i ntelligent sur- faces using multiport network analysis,” IEEE Wireless Communications Letters, vol. 13, no. 8, pp. 2240–2244, 2024
work page 2024
-
[17]
Performance Analysis of Systems with Coupled and Decoupled RISs
D. Semmler, J. A. Nossek, M. Joham, and W. Utschick, “Per formance analysis of systems with coupled and decoupled RISs,” 2024. [Online]. Available: https://arxiv.org/abs/2402.15423
work page Pith review arXiv 2024
-
[40]
Mut ual coupling in RIS-aided communication: Model training and ex perimental validation,
P . Zheng, R. Wang, A. Shamim, and T. Y . Al-Naffouri, “Mut ual coupling in RIS-aided communication: Model training and ex perimental validation,” IEEE Transactions on Wireless Communications , pp. 1–1, 2024
work page 2024
-
[43]
Mac ro- modeling of reconfigurable intelligent surface based on mic rowave network theory,
Z. Zhang, J. W. Zhang, J. W. Wu, J. C. Liang, Z. X. Wang, Q. C heng, Q. S. Cheng, T. J. Cui, H. Q. Y ang, G. B. Liu, and S. R. Wang, “Mac ro- modeling of reconfigurable intelligent surface based on mic rowave network theory,” IEEE Transactions on Antennas and Propagation , vol. 70, no. 10, pp. 8707–8717, 2022
work page 2022
Show all 55 references
-
[1]
Smart radio environments emp owered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead,
M. Di Renzo, A. Zappone, M. Debbah, M.-S. Alouini, C. Y uen , J. de Rosny, and S. Tretyakov, “Smart radio environments emp owered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead,” IEEE Journal on Selected Areas in Communications , vol...
2020
-
[2]
Communica tion mod- els for reconfigurable intelligent surfaces: From surface e lectromagnetics to wireless networks optimization,
M. Di Renzo, F. H. Danufane, and S. Tretyakov, “Communica tion mod- els for reconfigurable intelligent surfaces: From surface e lectromagnetics to wireless networks optimization,” Proceedings of the IEEE , vol. 110, no. 9, pp. 1164–1209, 2022
2022
-
[3]
Reradiation and scattering from a reconfigurable intellig ent surface: A general macroscopic model,
V . Degli-Esposti, E. M. Vitucci, M. Di Renzo, and S. A. Tre tyakov, “Reradiation and scattering from a reconfigurable intellig ent surface: A general macroscopic model,” IEEE Transactions on Antennas and Propagation, vol. 70, no. 10, pp. 8691–8706, 2022
2022
-
[4]
Electromagnetic signal a nd infor- mation theory,
M. Di Renzo and M. D. Migliore, “Electromagnetic signal a nd infor- mation theory,” IEEE BITS the Information Theory Magazine , pp. 1–13, 2024
2024
-
[5]
Toward a circuit theory of communi- cation,
M. T. Ivrlaˇ c and J. A. Nossek, “Toward a circuit theory of communi- cation,” IEEE Transactions on Circuits and Systems I: Regular Papers , vol. 57, no. 7, pp. 1663–1683, 2010
2010
-
[6]
End-to-end mutual coupling a ware communication model for reconfigurable intelligent surfac es: An electromagnetic-compliant approach based on mutual imped ances,
G. Gradoni and M. Di Renzo, “End-to-end mutual coupling a ware communication model for reconfigurable intelligent surfac es: An electromagnetic-compliant approach based on mutual imped ances,” IEEE Wireless Communications Letters , vol. 10, no. 5, pp. 938–942, 2021
2021
-
[7]
A un iversal framework for multiport network analysis of reconfigurable intelligent surfaces,
M. Nerini, S. Shen, H. Li, M. Di Renzo, and B. Clerckx, “A un iversal framework for multiport network analysis of reconfigurable intelligent surfaces,” IEEE Transactions on Wireless Communications , vol. 23, no. 10, pp. 14 575–14 590, 2024
2024
-
[8]
Modeling the mutu al coupling of reconfigurable metasurfaces,
M. Di Renzo, V . Galdi, and G. Castaldi, “Modeling the mutu al coupling of reconfigurable metasurfaces,” in 2023 17th European Conference on Antennas and Propagation (EuCAP) , 2023, pp. 1–4
2023
-
[9]
On the tac it linearity assumption in common cascaded models of RIS-parametrized w ireless channels,
A. Rabault, L. Le Magoarou, J. Sol, G. C. Alexandropoulos , N. Shlezinger, H. Vincent Poor, and P . del Hougne, “On the tac it linearity assumption in common cascaded models of RIS-parametrized w ireless channels,” IEEE Transactions on Wireless Communications , vol. 23, no. 8,...
2024
-
[10]
SARIS: Scattering aware reconfigurable intelligent surfa ce model and optimization for complex propagation channels,
P . Mursia, S. Phang, V . Sciancalepore, G. Gradoni, and M . Di Renzo, “SARIS: Scattering aware reconfigurable intelligent surfa ce model and optimization for complex propagation channels,” IEEE Wireless Com- munications Letters, vol. 12, no. 11, pp. 1921–1925, 2023
1921
-
[11]
Ph ysically consistent models for intelligent reflective surface-assi sted communica- tions under mutual coupling and element size constraint,
M. Akrout, F. Bellili, A. Mezghani, and J. A. Nossek, “Ph ysically consistent models for intelligent reflective surface-assi sted communica- tions under mutual coupling and element size constraint,” i n 2023 57th Asilomar Conference on Signals, Systems, and Computers , 2023, pp...
2023
-
[14]
Analysis an d opti- mization of reconfigurable intelligent surfaces based on S- parameters multiport network theory,
A. Abrardo, A. Toccafondi, and M. Di Renzo, “Analysis an d opti- mization of reconfigurable intelligent surfaces based on S- parameters multiport network theory,” in 2024 18th European Conference on Antennas and Propagation (EuCAP) , 2024, pp. 1–4
2024
-
[15]
Be yond diag- onal reconfigurable intelligent surfaces with mutual coupl ing: Modeling and optimization,
H. Li, S. Shen, M. Nerini, M. Di Renzo, and B. Clerckx, “Be yond diag- onal reconfigurable intelligent surfaces with mutual coupl ing: Modeling and optimization,” IEEE Communications Letters , vol. 28, no. 4, pp. 937–941, 2024
2024
-
[16]
A physics-compliant diagonal represen tation for wireless channels parametrized by beyond-diagonal reconfigurable i ntelligent surfaces,
P . del Hougne, “A physics-compliant diagonal represen tation for wireless channels parametrized by beyond-diagonal reconfigurable i ntelligent surfaces,” 2024. [Online]. Available: https://arxiv.org /abs/2409.20509
2024 arXiv
-
[18]
Mod elling of wireless links with reconfigurable intelligent surfaces us ing multiport network analysis,
J. A. Nossek, D. Semmler, M. Joham, and W. Utschick, “Mod elling of wireless links with reconfigurable intelligent surfaces us ing multiport network analysis,” in 2024 27th International W orkshop on Smart Antennas (WSA) , 2024, pp. 1–8
2024
-
[19]
An accurate semi -analytical model for periodic tunable metasurfaces electromagnetic r esponse,
S. I. Raptis, A. Papadopoulos, L. Symeonidis, A. Lalas, C. K. Liaskos, K. V otis, D. Tzovaras, and T. V . Yioultsis, “An accurate semi -analytical model for periodic tunable metasurfaces electromagnetic r esponse,” in 2024 18th European Conference on Antennas and Propagation (...
2024
-
[20]
End-to-end fading channel modelin g for RIS-empowered smart wireless environments,
R. Faqiri, C. Saigre-Tardif, G. C. Alexandropoulos, N. Shlezinger, M. F. Imani, and P . D. Hougne, “End-to-end fading channel modelin g for RIS-empowered smart wireless environments,” in 2022 IEEE Globecom W orkshops (GC Wkshps), 2022, pp. 741–746
2022
-
[21]
Physfad: Physics-based end-to-e nd channel modeling of RIS-parametrized environments with adjustabl e fading,
R. Faqiri, C. Saigre-Tardif, G. C. Alexandropoulos, N. Shlezinger, M. F. Imani, and P . del Hougne, “Physfad: Physics-based end-to-e nd channel modeling of RIS-parametrized environments with adjustabl e fading,” IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp....
2023
-
[22]
Load impedances vs polarizabilities: O n the compact- ness of physics-compliant models of RIS-parametrized wire less chan- nels,
P . Del Hougne, “Load impedances vs polarizabilities: O n the compact- ness of physics-compliant models of RIS-parametrized wire less chan- nels,” in 2024 18th European Conference on Antennas and Propagation (EuCAP), 2024, pp. 1–4
2024
-
[23]
Efficient computation of physics- compliant channel realizations for (rich-scattering) RIS -parametrized radio environments,
H. Prod’homme and P . del Hougne, “Efficient computation of physics- compliant channel realizations for (rich-scattering) RIS -parametrized radio environments,” IEEE Communications Letters , vol. 27, no. 12, pp. 3375–3379, 2023
2023
-
[24]
RIS-parametrized rich-scattering env ironments: Physics- compliant models, channel estimation, and optimization,
P . del Hougne, “RIS-parametrized rich-scattering env ironments: Physics- compliant models, channel estimation, and optimization,” 2023. [Online]. Available: https://arxiv.org/abs/2311.11651
2023 arXiv
-
[25]
Mutual coupling and unit cell aw are optimization for reconfigurable intelligent surfaces,
X. Qian and M. Di Renzo, “Mutual coupling and unit cell aw are optimization for reconfigurable intelligent surfaces,” IEEE Wireless Communications Letters , vol. 10, no. 6, pp. 1183–1187, 2021
2021
-
[26]
MIMO in terference channels assisted by reconfigurable intelligent surfaces: Mutual coupling aware sum-rate optimization based on a mutual impedance cha nnel model,
A. Abrardo, D. Dardari, M. Di Renzo, and X. Qian, “MIMO in terference channels assisted by reconfigurable intelligent surfaces: Mutual coupling aware sum-rate optimization based on a mutual impedance cha nnel model,” IEEE Wireless Communications Letters , vol. 10, no. 12, pp. 2...
2021
-
[28]
Electromagnetically-consistent modeling and optimizat ion of mutual coupling in RIS-assisted multi-user MIMO communication sy stems,
D. Wijekoon, A. Mezghani, G. C. Alexandropoulos, and E. Hossain, “Electromagnetically-consistent modeling and optimizat ion of mutual coupling in RIS-assisted multi-user MIMO communication sy stems,”
-
[29]
Optimizing reconfigurable intelligent su rfaces in multi-user environments: A multiport network theory approach leveraging statistical CSI,
A. Abrardo, “Optimizing reconfigurable intelligent su rfaces in multi-user environments: A multiport network theory approach leveraging statistical CSI,” IEEE Transactions on Communications , pp. 1–1, 2024
2024
-
[30]
Optimiza- tion of RIS-aided SISO systems based on a mutually coupled lo aded wire dipole model,
N. S. Perovi´ c, L.-N. Tran, M. Di Renzo, and M. F. Flanaga n, “Optimiza- tion of RIS-aided SISO systems based on a mutually coupled lo aded wire dipole model,” in 2023 57th Asilomar Conference on Signals, Systems, and Computers , 2023, pp. 145–150
2023
-
[31]
Optimization of RIS- aided MIMO – a mutually coupled loaded wire dipole model,
H. E. Hassani, X. Qian, S. Jeong, N. S. Perovi´ c, M. Di Ren zo, P . Mursia, V . Sciancalepore, and X. Costa-P´ erez, “Optimization of RIS- aided MIMO – a mutually coupled loaded wire dipole model,” IEEE Wireless Communications Letters , vol. 13, no. 3, pp. 726–730, 2024
2024
-
[32]
Genera lized impedance model of wireless links assisted by reconfigurabl e intelligent surfaces,
K. Konno, S. Terranova, Q. Chen, and G. Gradoni, “Genera lized impedance model of wireless links assisted by reconfigurabl e intelligent surfaces,” IEEE Transactions on Antennas and Propagation , vol. 72, no. 10, pp. 7691–7699, 2024
2024
-
[33]
Mutual coupling aware tim e-domain characterization and performance analysis of reconfigurab le intelligent surfaces,
G. Pettanice, R. V alentini, P . D. Marco, F. Loreto, D. Ro mano, F. San- tucci, D. Spina, and G. Antonini, “Mutual coupling aware tim e-domain characterization and performance analysis of reconfigurab le intelligent surfaces,” IEEE Transactions on Electromagnetic Compatibility...
2023
-
[34]
Time-domain characterization of rec onfigurable intelligent surfaces for wireless communications,
G. Pettanice, F. Loreto, P . Di Marco, D. Romano, F. Santu cci, R. Ale- sii, and G. Antonini, “Time-domain characterization of rec onfigurable intelligent surfaces for wireless communications,” in 2022 International Symposium on Electromagnetic Compatibility – EMC Europe , 2022...
2022
-
[35]
Design and optimiz ation of reconfigurable intelligent surfaces using the PEEC metho d,
G. Pettanice, M. Di Renzo, R. V alentini, S. Jeong, P . Di M arco, F. Santucci, D. Romano, and G. Antonini, “Design and optimiz ation of reconfigurable intelligent surfaces using the PEEC metho d,” 2024. [Online]. Available: https://arxiv.org/abs/2404.18315
2024 arXiv
-
[36]
Multiport network modeling for reconfigurable intelligent surfaces: Numeric al validation with a full-wave PEEC simulator,
G. Pettanice, M. Di Renzo, S. Jeong, R. V alentini, P . Di M arco, F. Santucci, D. Romano, and G. Antonini, “Multiport network modeling for reconfigurable intelligent surfaces: Numeric al validation with a full-wave PEEC simulator,” 2024. [Online]. Availabl e: https://arxiv.org...
2024 arXiv
-
[38]
Ex perimen- tally realized physical-model-based frugal wave control i n metasurface- programmable complex media,
J. Sol, H. Prod’homme, L. Le Magoarou, and P . Hougne, “Ex perimen- tally realized physical-model-based frugal wave control i n metasurface- programmable complex media,” 04 2024
2024
-
[39]
Empirical validation of the impedance-based RIS channel m odel in an indoor scattering environment,
P . Mursia, T. Mazloum, F. Munoz, V . Sciancalepore, G. Gr adoni, R. D’Errico, M. Di Renzo, X. Costa-P´ erez, A. Clemente, and G. Lerosey, “Empirical validation of the impedance-based RIS channel m odel in an indoor scattering environment,” in 2024 18th European Conference on ...
2024
-
[44]
Available: https://arxiv.org/abs/2409
[Online]. Available: https://arxiv.org/abs/2409. 10977
-
[45]
Mutual coupling-aware channel estimation and beamforming for RIS -assisted communications,
P . Zheng, S. Tarboush, H. Sarieddeen, and T. Al-Naffour i, “Mutual coupling-aware channel estimation and beamforming for RIS -assisted communications,” 10 2024
2024
-
[46]
On the impact of m utual coupling on RIS-assisted channel estimation,
P . Zheng, X. Ma, and T. Y . Al-Naffouri, “On the impact of m utual coupling on RIS-assisted channel estimation,” IEEE Wireless Commu- nications Letters , vol. 13, no. 5, pp. 1275–1279, 2024
2024
-
[47]
Energy-efficiency optimization for mutual-coupl ing-aware wire- less communication system based on RIS-enhanced SWIPT,
——, “Energy-efficiency optimization for mutual-coupl ing-aware wire- less communication system based on RIS-enhanced SWIPT,” IEEE Internet of Things Journal , vol. 10, no. 22, pp. 19 399–19 414, 2023
2023
-
[48]
Joint active beamforming and circuit parameter optimization for reconfi gurable intel- ligent surface-aided SWIPT systems,
R. Ma, J. Tang, X. Zhang, K.-K. Wong, and J. A. Chambers, “ Joint active beamforming and circuit parameter optimization for reconfi gurable intel- ligent surface-aided SWIPT systems,” in ICC 2023 - IEEE International Conference on Communications , 2023, pp. 937–942
2023
-
[49]
RIS-assisted hybrid symbiotic radio network: From practi cal end-to-end model to multi-objective optimization,
R. Ma, J. Tang, X. Yin Zhang, K.-K. Wong, and J. A. Chamber s, “RIS-assisted hybrid symbiotic radio network: From practi cal end-to-end model to multi-objective optimization,” IEEE Transactions on Cognitive Communications and Networking , vol. 10, no. 5, pp. 1730–1743, 2024
2024
-
[50]
RIS-assisted SWIPT network for internet of everything und er the electromagnetics-based communication model,
R. Ma, J. Tang, X. Y . Zhang, K.-K. Wong, and J. A. Chambers , “RIS-assisted SWIPT network for internet of everything und er the electromagnetics-based communication model,” IEEE Internet of Things Journal, vol. 11, no. 9, pp. 15 402–15 415, 2024
2024
-
[51]
Physically consistent model ing of stacked intelligent metasurfaces implemented with beyond diagona l RIS,
M. Nerini and B. Clerckx, “Physically consistent model ing of stacked intelligent metasurfaces implemented with beyond diagona l RIS,” IEEE Communications Letters , vol. 28, no. 7, pp. 1693–1697, 2024
2024
-
[52]
RISnet: A domain-knowledge driven neural network archite cture for RIS optimization with mutual coupling and partial CSI,
B. Peng, K.-L. Besser, S. Shen, F. Siegismund-Poschman n, R. Raghunath, D. Mittleman, V . Jamali, and E. A. Jorswieck, “RISnet: A domain-knowledge driven neural network archite cture for RIS optimization with mutual coupling and partial CSI,” 2024. [Online]. Available: https:/...
2024 arXiv
-
[53]
Stacked intelligent metasurface-aided MIMO transceiver design,
J. An, C. Y uen, C. Xu, H. Li, D. W. K. Ng, M. Di Renzo, M. Debb ah, and L. Hanzo, “Stacked intelligent metasurface-aided MIMO transceiver design,” IEEE Wireless Communications , vol. 31, no. 4, pp. 123–131, 2024
2024
-
[54]
T3DRIS: Advancing conformal R IS design through in-depth analysis of mutual coupling effects,
P . Mursia, F. Devoti, M. Rossanese, V . Sciancalepore, G . Gradoni, M. D. Renzo, and X. Costa-P´ erez, “T3DRIS: Advancing conformal R IS design through in-depth analysis of mutual coupling effects,” IEEE Transactions on Communications , pp. 1–1, 2024
2024
-
[2024]
Available: https://arxiv.org/abs/2404
[Online]. Available: https://arxiv.org/abs/2404. 04539
Reviewed August 12, 2026 · model on record in the stance chip above.
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