ML-ARIS: Multilayer Underwater Acoustic Reconfigurable Intelligent Surface with High-Resolution Reflection Control
Pith reviewed 2026-05-23 05:02 UTC · model grok-4.3
The pith
A multilayer piezoelectric structure lets one acoustic reflector produce reflected waves with independently set high-resolution amplitudes and orthogonal phases.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The ML-ARIS design places several layers of piezoelectric material in each reflector and allows independent adjustment of the load impedance on every layer through dedicated control circuits. This arrangement produces passive synthetic reflection, so that a single reflector unit can generate reflected acoustic waves whose amplitudes and phases are set at high resolution and made mutually orthogonal. Simulations and tank experiments confirm that the required impedance settings can be realized and that the resulting reflection patterns support directed beam steering.
What carries the argument
Multilayer piezoelectric reflector whose per-layer load impedances are adjusted independently to synthesize a desired reflection coefficient from their combined response.
If this is right
- Sound energy can be steered precisely toward chosen underwater locations using only passive reflectors.
- Unwanted acoustic interference outside the target direction is reduced by shaping the reflection pattern at each unit.
- A single reflector replaces what would otherwise require an array of separate units to achieve comparable phase and amplitude granularity.
- Energy consumption drops because the surface operates passively once the impedances are set.
Where Pith is reading between the lines
- The same layered-impedance principle could be tested in air or in solid media where acoustic control is also needed.
- Networks of such units might allow distributed shaping of underwater sound fields without central power sources at every reflector.
- Increasing the number of layers per unit offers a direct route to finer phase steps if hardware permits independent control.
Load-bearing premise
The impedance on each piezoelectric layer can be controlled independently without mutual coupling or dissipation that would block the full set of target amplitudes and orthogonal phases.
What would settle it
A tank measurement in which the measured reflection coefficients from a multilayer unit fail to reach the full range of desired amplitudes at orthogonal phases even when the individual layer impedances are varied over their full available range.
Figures
read the original abstract
This article introduces a multilayered acoustic reconfigurable intelligent surface (ML-ARIS) architecture designed for the next generation of underwater communications. ML-ARIS incorporates multiple layers of piezoelectric material in each acoustic reflector, with the load impedance of each layer independently adjustable via a control circuit. This design increases the flexibility in generating reflected signals with desired amplitudes and orthogonal phases, enabling passive synthetic reflection using a single acoustic reflector. Such a feature enables precise beam steering, enhancing sound levels in targeted directions while minimizing interference in surrounding environments. Extensive simulations and tank experiments were conducted to verify the feasibility of ML-ARIS. The experimental results indicate that implementing synthetic reflection with a multilayer structure is indeed practical in real-world scenarios, making it possible to use a single reflection unit to generate reflected waves with high-resolution amplitudes and phases.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces ML-ARIS, a multilayer piezoelectric acoustic reconfigurable intelligent surface in which each reflector unit contains multiple layers whose load impedances can be adjusted independently via control circuits. This architecture is claimed to enable passive synthetic reflection that produces reflected waves with high-resolution amplitudes and orthogonal phases from a single unit, thereby supporting precise beam steering. Feasibility is asserted on the basis of simulations and tank experiments.
Significance. If the hardware-level independent control can be realized without prohibitive coupling or dissipation, the approach would allow substantially finer phase/amplitude granularity per reflector than conventional single-layer RIS designs, with direct implications for underwater acoustic beamforming efficiency and interference management.
major comments (2)
- [Abstract] Abstract: the statement that 'the experimental results indicate that implementing synthetic reflection with a multilayer structure is indeed practical in real-world scenarios' supplies no quantitative metrics (measured amplitude/phase values, RMS error, coupling coefficients, or comparison against single-layer baselines), so the central feasibility claim cannot be evaluated.
- [Tank experiments (section describing hardware validation)] The weakest link in the central claim is the assumption that load impedances on each piezoelectric layer can be set independently to reach the desired orthogonal-phase/amplitude loci. No data on measured cross-layer coupling coefficients, parasitic dissipation, or deviation from ideal loci under simultaneous multi-layer control appear in the experimental description, leaving the hardware feasibility unverified.
minor comments (1)
- [Design / Methods] Provide explicit circuit diagrams or impedance-control equations showing how independent per-layer termination is implemented without violating passivity or introducing unmodeled mutual inductance.
Simulated Author's Rebuttal
We thank the referee for the constructive feedback on our manuscript. We address each major comment below and have revised the manuscript to strengthen the presentation of experimental results where the concerns are valid.
read point-by-point responses
-
Referee: [Abstract] Abstract: the statement that 'the experimental results indicate that implementing synthetic reflection with a multilayer structure is indeed practical in real-world scenarios' supplies no quantitative metrics (measured amplitude/phase values, RMS error, coupling coefficients, or comparison against single-layer baselines), so the central feasibility claim cannot be evaluated.
Authors: We agree that the abstract would be strengthened by including quantitative metrics. In the revised manuscript we have updated the abstract to report specific measured values from the tank experiments, including achieved amplitude and phase resolutions, RMS deviation from target loci, and direct comparison against single-layer baselines. These metrics are now cross-referenced to the experimental section. revision: yes
-
Referee: [Tank experiments (section describing hardware validation)] The weakest link in the central claim is the assumption that load impedances on each piezoelectric layer can be set independently to reach the desired orthogonal-phase/amplitude loci. No data on measured cross-layer coupling coefficients, parasitic dissipation, or deviation from ideal loci under simultaneous multi-layer control appear in the experimental description, leaving the hardware feasibility unverified.
Authors: The referee correctly notes the absence of explicit cross-layer characterization. Our original experiments measured end-to-end reflection performance under multi-layer control but did not separately report coupling coefficients or per-layer dissipation. We have added a new subsection to the experimental results that presents the measured coupling matrix, observed parasitic losses, and deviation statistics under simultaneous drive. These additions directly address the independent-control assumption while preserving the original performance claims. revision: yes
Circularity Check
No derivation chain or self-referential structure present; claim rests on external experiments.
full rationale
The manuscript introduces an ML-ARIS hardware architecture and reports that tank experiments and simulations confirm feasibility of independent per-layer impedance control for high-resolution passive reflection. No equations, fitted parameters, predictions derived from internal definitions, or self-citation chains appear in the abstract or described content. The central statement is an empirical claim verified against physical hardware rather than any reduction of outputs to inputs by construction. This is the normal case of a self-contained experimental paper.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
M. Ahmed, S. Raza, A. A. Soofi, F. Khan, W. U. Khan, S. Z. U. Abideen, F. Xu, and Z. Han, “Active reconfigurable intelligent surfaces: expanding the frontiers of wireless communication-a survey,” IEEE Communications Surveys & Tutorials , 2024
work page 2024
-
[2]
H. Yang, S. Kim, H. Kim, S. Bang, Y . Kim, S. Kim, K. Park, D. Kwon, and J. Oh, “Beyond limitations of 5G with RIS: field trial in a commercial network, recent advances, and future directions,” IEEE Communications Magazine, 2023
work page 2023
-
[3]
Intelligent surfaces empowered wireless network: recent advances and the road to 6G,
Q. Wu, B. Zheng, C. You, L. Zhu, K. Shen, X. Shao, W. Mei, B. Di, H. Zhang, E. Basar et al. , “Intelligent surfaces empowered wireless network: recent advances and the road to 6G,” Proceedings of the IEEE, 2024
work page 2024
-
[4]
Experimental investigations of electromagnetic wave propagation in seawater,
A. Shaw, A. Al-Shamma’a, S. Wylie, and D. Toal, “Experimental investigations of electromagnetic wave propagation in seawater,” in European Microwave Conference. IEEE, 2006, pp. 572–575
work page 2006
-
[5]
Z. Sun, H. Guo, and I. F. Akyildiz, “High-data-rate long-range under- water communications via acoustic reconfigurable intelligent surfaces,” IEEE Communications Magazine , vol. 60, no. 10, pp. 96–102, 2022
work page 2022
-
[6]
Designing acoustic reconfigurable intelligent surface for underwater communica- tions,
H. Wang, Z. Sun, H. Guo, P. Wang, and I. F. Akyildiz, “Designing acoustic reconfigurable intelligent surface for underwater communica- tions,” IEEE Transactions on Wireless Communications , 2023
work page 2023
-
[7]
Y . Luo, L. Pu, and A. Song, “Experimental study of underwater acoustic reconfigurable intelligent surfaces with in-phase and quadrature modulation,” arXiv, no. arXiv:2411.12906, 2024
work page internal anchor Pith review Pith/arXiv arXiv 2024
-
[8]
J. Kim, J. Kim, J. H. Oh, S.-H. Wi, and J. Oh, “Rotated feed-combined reconfigurable transmit RIS with disparate deployment of 1-bit hybrid units for B5G/6G,” IEEE Transactions on Antennas and Propagation , vol. 71, no. 6, pp. 5457–5462, 2023
work page 2023
-
[9]
L. Zhang, Z. X. Wang, R. W. Shao, J. L. Shen, X. Q. Chen, X. Wan, Q. Cheng, and T. J. Cui, “Dynamically realizing arbitrary multi-bit programmable phases using a 2-bit time-domain coding metasurface,” IEEE Transactions on Antennas and Propagation , vol. 68, no. 4, pp. 2984–2992, 2019
work page 2019
-
[10]
W. Tang, M. Z. Chen, X. Chen, J. Y . Dai, Y . Han, M. Di Renzo, Y . Zeng, S. Jin, Q. Cheng, and T. J. Cui, “Wireless communications with reconfigurable intelligent surface: path loss modeling and experimental measurement,” IEEE transactions on wireless communications , vol. 20, no. 1, pp. 421–439, 2020
work page 2020
-
[11]
Reconfigurable intelligent surfaces for energy efficiency in wireless communication,
C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE transactions on wireless communica- tions, vol. 18, no. 8, pp. 4157–4170, 2019
work page 2019
-
[12]
On deployment position of ris in wireless communication systems: Analysis and experimental results,
Y . Ren, R. Zhou, X. Teng, S. Meng, M. Zhou, W. Tang, X. Li, C. Li, and S. Jin, “On deployment position of ris in wireless communication systems: Analysis and experimental results,” IEEE Wireless Communi- cations Letters, 2023
work page 2023
-
[13]
M. Jian, G. C. Alexandropoulos, E. Basar, C. Huang, R. Liu, Y . Liu, and C. Yuen, “Reconfigurable intelligent surfaces for wireless communi- cations: overview of hardware designs, channel models, and estimation techniques,” Intelligent and Converged Networks, vol. 3, no. 1, pp. 1–32, 2022
work page 2022
-
[14]
Application of varactor diodes for reflectarray phase control,
L. Boccia, F. Venneri, G. Amendola, and G. Di Massa, “Application of varactor diodes for reflectarray phase control,” in IEEE Antennas and Propagation Society International Symposium , vol. 3. IEEE, 2002, p. 132
work page 2002
-
[15]
Increasing indoor spectrum sharing capacity using smart reflect-array,
X. Tan, Z. Sun, J. M. Jornet, and D. Pados, “Increasing indoor spectrum sharing capacity using smart reflect-array,” in 2016 IEEE International Conference on Communications (ICC) . IEEE, 2016, pp. 1–6
work page 2016
-
[16]
X. Pei, H. Yin, L. Tan, L. Cao, Z. Li, K. Wang, K. Zhang, and E. Bjornson, “Ris-aided wireless communications: prototyping, adaptive beamforming, and indoor/outdoor field trials,” IEEE Transactions on Communications, vol. 69, no. 12, pp. 8627–8640, 2021
work page 2021
-
[17]
Enabling long-range underwater backscatter via Van Atta acoustic networks,
A. Eid, J. Rademacher, W. Akbar, P. Wang, A. Allam, and F. Adib, “Enabling long-range underwater backscatter via Van Atta acoustic networks,” in Proceedings of the ACM SIGCOMM Conference . ACM, 2023, pp. 1–19
work page 2023
-
[18]
Challenges and oppor- tunities of underwater cognitive acoustic networks,
Y . Luo, L. Pu, M. Zuba, Z. Peng, and J.-H. Cui, “Challenges and oppor- tunities of underwater cognitive acoustic networks,” IEEE Transactions on Emerging Topics in Computing , vol. 2, no. 2, pp. 198–211, 2014
work page 2014
-
[19]
H. L. Van Trees, Optimum array processing: part IV of detection, estimation, and modulation theory . John Wiley & Sons, 2002
work page 2002
-
[20]
Intelligent reflecting surface: practical phase shift model and beamforming optimization,
S. Abeywickrama, R. Zhang, Q. Wu, and C. Yuen, “Intelligent reflecting surface: practical phase shift model and beamforming optimization,” IEEE Transactions on Communications , vol. 68, no. 9, pp. 5849–5863, 2020
work page 2020
-
[21]
NTE Electronics Inc., NTE618 varactor silicon tuning diode for AM radio, NTE Electronics Inc., Bloomfield, NJ, USA, March 2012
work page 2012
-
[22]
ZETEX Semiconductors, 830 series silicon 25V hyperabrupt varactor diodes, ZETEX Semiconductors, Zetex Technology Park, Chadderton Oldham, UK, January 2007
work page 2007
-
[23]
Lurton, An introduction to underwater acoustics: principles and applications
X. Lurton, An introduction to underwater acoustics: principles and applications. Springer Science & Business Media, 2002
work page 2002
-
[24]
P. J. Van Laarhoven, E. H. Aarts, P. J. van Laarhoven, and E. H. Aarts, Simulated annealing. Springer, 1987
work page 1987
-
[25]
B. Acoustics, “BT-2RCL acoustic transducer,” BTech Acoustics LLC, 2024, [Accessed: September, 2024]. [Online]. Available: https://www.btechacoustics.com/products/bt-2rcl
work page 2024
-
[26]
Method for making inte- grated matching layer for ultrasonic transducers,
J. F. Dias and M. S. Seyed-Bolorforosh, “Method for making inte- grated matching layer for ultrasonic transducers,” Apr. 1996, US Patent 5,511,296
work page 1996
-
[27]
Ultra- wideband underwater acoustic transducer with a gradient impedance matching layer,
J. Bian, Y . Wang, Z. Liu, M. Shen, H. Zhao, Y . Sun, and J. Zhu, “Ultra- wideband underwater acoustic transducer with a gradient impedance matching layer,” Applied Acoustics, vol. 175, p. 107789, 2021
work page 2021
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.