Pith. sign in

REVIEW 3 major objections 4 minor 39 references

A programmable near-field local oscillator across a Rydberg vapor-cell array shapes the effective uplink channel cell by cell, and optimizing its amplitudes and phases raises Shannon capacity for satellite links.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

T0 review · grok-4.5

2026-07-08 19:10 UTC pith:YA4WRZ34

load-bearing objection Doppler-as-IF plus programmable near-field LO as analog channel shaping for Rydberg satellite uplinks is a coherent architecture; the cell-center approximation is the load-bearing soft spot. the 3 major comments →

arxiv 2607.05979 v1 pith:YA4WRZ34 submitted 2026-07-07 eess.SP

Cell-Level Channel Shaping for Rydberg Atomic Quantum Receivers in Satellite Uplinks With Doppler-Enabled Superheterodyne Reception

Qihao Peng , Qu Luo , Kezhi Wang , Cunhua Pan , Pei Xiao , Trung Q. Duong , Jiangzhou Wang This is my paper
classification eess.SP
keywords Rydberg atomic receiverssatellite uplinklocal oscillator designchannel shapingself-superheterodyneShannon capacityvapor-cell arrayDoppler intermediate frequency
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper proposes a self-superheterodyne Rydberg uniform-array receiver for satellite uplinks that turns the Doppler shift from satellite motion into the intermediate-frequency signal, removing the need for a classical external mixer. The authors build a near-field local-oscillator (LO) synthesis model and, under a vapor-cell-center approximation, derive a closed-form RF-to-optical conversion that links the incident satellite field to each cell’s transduction response. That derivation shows the programmable LO acts as an analog-domain channel-shaping mechanism: it sets cell-level gain, phase, and phase-matching, and thereby defines an equivalent multi-user channel. They then formulate LO amplitude and phase design as a Shannon-capacity maximization problem and solve it with an efficient algorithm. Simulations indicate that suitable LO configurations reshape the effective beam pattern, moderately reduce inter-user correlation, and deliver substantially higher capacity than benchmark LO schemes, offering a concrete architecture for Rydberg-based satellite receivers.

Core claim

A programmable near-field LO across a Rydberg vapor-cell array functions as an analog-domain channel-shaping mechanism that controls cell-level transduction gain, phase response, and phase-matching; designing LO amplitudes and phases to maximize the Shannon capacity of the resulting equivalent channel significantly improves achievable capacity over benchmark LO schemes in satellite-uplink simulations.

What carries the argument

The vapor-cell-center approximation that collapses the spatially varying LO and RF fields inside each finite vapor cell to their values at the cell center, yielding a closed-form RF-to-optical conversion; that conversion supplies the equivalent multi-user channel whose Shannon capacity is then maximized over LO amplitudes and phases.

Load-bearing premise

The model treats the LO and RF fields inside each finite vapor cell as equal to their values at the cell center, which is what produces the closed-form conversion and the entire equivalent-channel model used for capacity optimization.

What would settle it

Build or measure a multi-cell Rydberg array under a programmed near-field LO, compare the observed cell-level RF-to-optical gains and phases against the cell-center closed-form predictions, and check whether the capacity gain of the optimized LO design over uniform-LO benchmarks appears in the measured effective channel.

Watch this falsifier. Get emailed when new claim-graph text bears on it.

Share X Bluesky LinkedIn Reddit HN

If this is right

  • Suitable LO configurations reshape the effective channel and realign the array beam pattern for the satellite geometry.
  • Inter-user correlation can be moderately reduced by LO amplitude and phase design alone.
  • The optimized LO design yields higher Shannon capacity than benchmark LO schemes in the simulated multi-user uplink.
  • Doppler from satellite motion supplies the intermediate frequency, enabling self-superheterodyne Rydberg reception without a classical mixer.
  • The LO becomes a programmable analog pre-processor that sits before any digital baseband processing.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same LO-based channel-shaping idea could be tested on terrestrial multi-user Rydberg links where path geometry is less extreme than a satellite uplink.
  • If the cell-center approximation stays accurate for larger cells, denser arrays with coarser LO spatial sampling may still approach the reported capacity gains.
  • Closing the loop with measured Rydberg electrometry data would show how much of the simulated capacity lift survives hardware non-idealities.
  • Doppler-enabled self-superheterodyne reception may relax LO frequency-stability demands relative to classical mixers in high-mobility links.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The manuscript proposes a self-superheterodyne Rydberg uniform-array receiver for satellite uplinks that exploits the Doppler shift from satellite motion as the intermediate frequency. A near-field LO synthesis model is developed; under a vapor-cell-center approximation a closed-form RF-to-optical conversion is obtained, yielding an equivalent multi-user channel in which programmable LO amplitudes and phases act as analog-domain cell-level gain, phase, and phase-matching controls. An LO design problem maximizing Shannon capacity of this effective channel is formulated and solved by an efficient optimizer. Simulations report beam-pattern realignment, moderate inter-user correlation reduction, and capacity gains over benchmark LO schemes.

Significance. If the modeling chain and capacity gains hold under realistic cell-volume integration and hardware constraints, the work would supply a concrete system-level architecture that turns a programmable near-field LO into an analog channel-shaping degree of freedom for Rydberg atomic receivers in satellite uplinks—an application domain where Doppler-enabled self-superheterodyne reception is a natural fit. The closed-form bridge from LO fields to an equivalent MIMO channel and the associated capacity-oriented LO optimizer are the main technical contributions; they are potentially useful to both the atomic-receiver and satellite-communications communities. The paper does not claim machine-checked proofs or parameter-free predictions; its value rests on the fidelity of the cell-center model and on the reported simulation gains.

major comments (3)
  1. The vapor-cell-center approximation is load-bearing: the closed-form RF-to-optical conversion and the entire equivalent channel used for capacity optimization rest on replacing the spatially varying LO and RF fields inside each finite cell by their values at the cell center. In the near-field LO regime emphasized by the paper, the LO field can vary appreciably across a cell of finite size, so the true atomic response is a volume integral of the local Rydberg susceptibility rather than a point sample. The manuscript does not quantify the approximation error (e.g., by comparing center-sampled vs. volume-integrated transduction gain/phase as a function of cell size, LO wavelength, and LO–cell geometry). Without such an error analysis, the reported capacity gains over benchmarks could be artifacts of the approximation rather than physical improvements. A concrete validation—analytic bounds o
  2. The LO design problem maximizes Shannon capacity of the effective channel obtained under the cell-center model. The optimizer therefore designs against a channel matrix that may systematically misrepresent the physical transduction. Even if the optimizer is efficient, its solutions are only as reliable as the model. The paper should either (i) re-optimize or re-evaluate the designed LO under a volume-integrated forward model and show that capacity gains persist, or (ii) restrict the operating regime (cell size ≪ LO spatial scale) and demonstrate that the simulated geometries satisfy that regime with quantified margin. Absent one of these, the claim that the proposed LO design “significantly improves the achievable capacity” remains conditional on an unchecked modeling step.
  3. Downstream claims—beam-pattern alignment, moderate inter-user correlation reduction, and capacity gains—are all inherited from the same equivalent-channel model. The simulation section should include at least one stress test in which the LO spatial gradient across a cell is deliberately large (or cell size is increased) so that the center approximation is stressed, and report how capacity and correlation metrics degrade. Without that, the simulation campaign does not probe the weakest assumption identified in the modeling chain.
minor comments (4)
  1. Notation for LO amplitudes/phases and for the cell-level transduction coefficients should be tabulated early so that the mapping from free design variables to the effective channel matrix is unambiguous without hunting through the derivation.
  2. Figures that show beam patterns and inter-user correlation should state the exact LO configuration (amplitudes and phases) used, so that results are reproducible from the text alone.
  3. Related work on Rydberg receivers with external LO or superheterodyne architectures should be cited more completely so that the novelty of the Doppler-enabled self-superheterodyne plus programmable near-field LO combination is clear.
  4. Clarify whether the Shannon capacity formula assumes perfect CSI at the receiver and what noise model (shot noise, technical noise, etc.) is used after optical readout; both affect the interpretation of the reported gains.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for a careful and constructive report. The three major comments converge on a single modeling assumption—the vapor-cell-center approximation—and on the need to demonstrate that the reported capacity gains and channel-shaping effects are not artifacts of that approximation. We agree that this point is load-bearing and that the original manuscript did not supply a quantitative error analysis or a stress test. In the revision we will (i) quantify center-sampled versus volume-integrated transduction, (ii) re-evaluate (and, where needed, re-optimize) the LO designs under a volume-integrated forward model and/or state an explicit operating regime with quantified margin, and (iii) add a simulation stress test that deliberately enlarges the LO spatial gradient across each cell. These additions address the referee’s concerns without altering the core architecture or the closed-form bridge that remains valid under the stated regime.

read point-by-point responses

  1. Referee: The vapor-cell-center approximation is load-bearing: the closed-form RF-to-optical conversion and the entire equivalent channel used for capacity optimization rest on replacing the spatially varying LO and RF fields inside each finite cell by their values at the cell center. In the near-field LO regime the LO field can vary appreciably across a cell, so the true atomic response is a volume integral. The manuscript does not quantify the approximation error. Without such an error analysis, the reported capacity gains could be artifacts of the approximation.

    Authors: We agree that the cell-center approximation is load-bearing and that the original manuscript did not quantify its error. The closed-form RF-to-optical conversion and the equivalent multi-user channel are derived under that approximation for analytical tractability and for a well-posed LO design problem. In the revision we will add an explicit error analysis that compares center-sampled versus volume-integrated transduction gain and phase as functions of cell size, LO wavelength, and LO–cell geometry. We will report relative error in complex transduction coefficient (and, where informative, analytic or semi-analytic bounds) over the geometries used in the simulations, so that the fidelity of the equivalent channel is no longer left unchecked. revision: yes

  2. Referee: The LO design problem maximizes Shannon capacity of the effective channel obtained under the cell-center model. The optimizer therefore designs against a channel matrix that may systematically misrepresent the physical transduction. The paper should either (i) re-optimize or re-evaluate the designed LO under a volume-integrated forward model and show that capacity gains persist, or (ii) restrict the operating regime (cell size ≪ LO spatial scale) and demonstrate that the simulated geometries satisfy that regime with quantified margin. Absent one of these, the claim that the proposed LO design significantly improves capacity remains conditional on an unchecked modeling step.

    Authors: We accept this criticism. Capacity-oriented LO design is only as reliable as the forward model. In the revision we will pursue both complementary steps the referee suggests: (i) re-evaluate the LO amplitudes and phases obtained under the cell-center model with a volume-integrated forward model, and report whether the capacity gains over the same benchmarks persist; where the gap is material we will also re-optimize under the integrated model (or a high-fidelity surrogate) to confirm that the design remains beneficial; (ii) state an explicit operating regime (cell size much smaller than the LO spatial scale of variation) and demonstrate, with quantified margin, that the simulated cell sizes, LO wavelengths, and LO–cell geometries satisfy it. The claim of significant capacity improvement will be restated as holding under the validated regime and under the volume-integrated checks. revision: yes

  3. Referee: Downstream claims—beam-pattern alignment, moderate inter-user correlation reduction, and capacity gains—are all inherited from the same equivalent-channel model. The simulation section should include at least one stress test in which the LO spatial gradient across a cell is deliberately large (or cell size is increased) so that the center approximation is stressed, and report how capacity and correlation metrics degrade. Without that, the simulation campaign does not probe the weakest assumption identified in the modeling chain.

    Authors: We agree. The original simulation campaign did not deliberately stress the cell-center assumption. In the revision the simulation section will include at least one stress-test configuration in which cell size is increased and/or the LO–cell geometry is chosen so that the LO spatial gradient across each cell is large. We will report the resulting degradation (or robustness) of beam-pattern alignment, inter-user correlation, and Shannon capacity relative to the nominal geometries, thereby probing the weakest modeling assumption and clarifying the practical range over which the reported channel-shaping benefits remain meaningful. revision: yes

Circularity Check

0 steps flagged

No significant circularity: LO design is a free optimization over a derived equivalent channel; capacity gains are simulation outcomes, not tautologies.

full rationale

The paper builds a near-field LO field model, applies a vapor-cell-center approximation to obtain a closed-form RF-to-optical conversion, treats the resulting cell-level gains/phases as an equivalent channel, and optimizes free LO amplitudes/phases for Shannon capacity. That chain is standard engineering modeling plus design: the LO variables are not fitted to capacity data and then re-presented as predictions; capacity is evaluated on the model after optimization. The vapor-cell-center approximation is a modeling assumption (correctness risk under strong LO gradients), not a self-definitional or fitted-input circularity. No uniqueness theorem is imported from the authors to forbid alternatives; no known empirical pattern is merely renamed as a first-principles result. Self-citations, if any, are not load-bearing for the central capacity claim. Score 0 is appropriate: the derivation is self-contained against its stated model and external benchmarks are simulation comparisons, not tautological restatements of inputs.

Axiom & Free-Parameter Ledger

2 free parameters · 4 axioms · 0 invented entities

Abstract-only audit. Free parameters are the LO amplitudes and phases that the optimizer designs; no numerical fitted constants are disclosed. Core axioms are standard communications and atomic-receiver modeling choices plus the paper-specific vapor-cell-center approximation that enables the closed-form bridge. No new physical particles or forces are invented; the “programmable LO as channel shaper” is a design interpretation of existing LO fields, not a new entity.

free parameters (2)
  • LO amplitudes per vapor cell
    Treated as continuous design variables in the capacity-maximization problem; values are chosen by the proposed optimizer rather than fixed by first principles.
  • LO phases per vapor cell
    Likewise free design variables controlling cell-level phase response and phase-matching; optimized jointly with amplitudes.
axioms (4)
  • domain assumption Satellite motion induces a Doppler shift that can serve as a usable intermediate-frequency tone for self-superheterodyne Rydberg reception.
    Central architectural premise stated in the abstract; validity depends on orbit geometry, carrier frequency, and atomic transition bandwidths not detailed here.
  • ad hoc to paper Vapor-cell-center approximation: fields inside each finite cell may be replaced by their values at the cell center for closed-form RF-to-optical conversion.
    Explicit modeling step that “establishes an explicit bridge” between satellite signal and cell-level response; load-bearing for the equivalent channel used in capacity optimization.
  • domain assumption Near-field LO electric field across the array can be synthesized and is spatially varying in a controllable way.
    Foundation of the LO synthesis model; standard electromagnetics but assumed programmable at the precision needed for channel shaping.
  • domain assumption Shannon capacity of the derived effective multi-user channel is the appropriate design objective for LO amplitudes and phases.
    Standard information-theoretic objective in multi-user MIMO-style design; assumed to capture the relevant performance of the Rydberg front-end.

pith-pipeline@v0.9.1-grok · 6363 in / 3141 out tokens · 52594 ms · 2026-07-08T19:10:40.528869+00:00 · methodology

0 comments
Cite this review

Pith. "Pith review of Cell-Level Channel Shaping for Rydberg Atomic Quantum Receivers in Satellite Uplinks With Doppler-Enabled Superheterodyne Reception." pith.science (2026). https://pith.science/paper/YA4WRZ34

@misc{pith2026260705979,
  author       = {Pith},
  title        = {Pith review of: Cell-Level Channel Shaping for Rydberg Atomic Quantum Receivers in Satellite Uplinks With Doppler-Enabled Superheterodyne Reception},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/YA4WRZ34}},
  note         = {Machine review of arXiv:2607.05979}
}
Share X Bluesky LinkedIn Reddit HN
read the original abstract

In this paper, we propose a self-superheterodyne Rydberg uniform array receiver for satellite uplink communications, in which the Doppler shift naturally induced by satellite motion is exploited to generate the intermediate-frequency signal. We first develop a near-field local oscillator (LO) synthesis model and characterize the spatially varying LO electric field across the Rydberg vapor cells. Based on a vapor-cell-center approximation, a closed-form radio frequency (RF)-to-optical conversion is derived, establishing an explicit bridge between the incident satellite signal and the LO-induced cell-level response. The derived model reveals that the programmable LO serves as an analog-domain channel-shaping mechanism by controlling the cell-level transduction gain, phase response, and phase-matching behavior. Building upon this equivalent channel model, we formulate an LO design problem that maximizes the Shannon capacity of the effective channel, and develop an efficient optimization algorithm for the LO amplitudes and phases. Simulation results demonstrate that the vapor-cell transduction can reshape the effective channel, adjust the beam-pattern alignment, and moderately reduce the inter-user correlation under suitable LO configurations. Furthermore, the proposed LO design significantly improves the achievable capacity over benchmark schemes, offering a promising self-superheterodyne Rydberg architecture for future satellite communication systems.

Figures

Figures reproduced from arXiv: 2607.05979 by Cunhua Pan, Jiangzhou Wang, Kezhi Wang, Pei Xiao, Qihao Peng, Qu Luo, Trung Q. Duong.

Figure 1
Figure 1. Figure 1: Rydberg atomic quantum satellite based on a four-level configuration. [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Normalized mean square error between exact LO and approximated LO. [PITH_FULL_IMAGE:figures/full_fig_p010_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The output voltage based on the exact results, approx [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: As expected, the effective beam pattern after the vapor [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 4
Figure 4. Figure 4: 3D effective beam pattern comparison [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Correlated matrix of users’ channels. vapor cell’s capability to reshape the channel and confirming our Remark 2. D. Channel Correlation Relying on Vapor Cell In this subsection, we investigate the spatial separation capa￾bility enabled by LO design [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 7
Figure 7. Figure 7: Performance of various algorithms with RR,k = 10, ∀k [PITH_FULL_IMAGE:figures/full_fig_p012_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Performance under various Vapor cell’s length [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

39 extracted references · 39 canonical work pages · 4 internal anchors

  1. [1]

    What should 6G be?

    S. Dang, O. Amin, B. Shihada, and M.-S. Alouini, “What should 6G be?”Nature Electronics, vol. 3, no. 1, pp. 20–29, 2020

    work page 2020

  2. [2]

    On the road to 6G: Visions, requirements, key technologies, and testbeds,

    C.-X. Wang, X. You, X. Gao, X. Zhu, Z. Li, C. Zhang, H. Wang, Y . Huang, Y . Chen, H. Haaset al., “On the road to 6G: Visions, requirements, key technologies, and testbeds,”IEEE Communications Surveys & Tutorials, vol. 25, no. 2, pp. 905–974, 2023

    work page 2023

  3. [3]

    The road towards 6G: A comprehensive survey,

    W. Jiang, B. Han, M. A. Habibi, and H. D. Schotten, “The road towards 6G: A comprehensive survey,”IEEE Open Journal of the Communications Society, vol. 2, pp. 334–366, 2021

    work page 2021

  4. [4]

    Satellite communi- cations in the new space era: A survey and future challenges,

    O. Kodheli, E. Lagunas, N. Maturo, S. K. Sharma, B. Shankar, J. F. M. Montoya, J. C. M. Duncan, D. Spano, S. Chatzinotas, S. Kisseleff, J. Querol, L. Lei, T. X. Vu, and G. Goussetis, “Satellite communi- cations in the new space era: A survey and future challenges,”IEEE Communications Surveys & Tutorials, vol. 23, no. 1, pp. 70–109, 2021

    work page 2021

  5. [5]

    A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

    W. Saad, M. Bennis, and M. Chen, “A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,”IEEE Network, vol. 34, no. 3, pp. 134–142, 2020

    work page 2020

  6. [6]

    Broadband LEO satellite communications: Architectures and key technologies,

    Y . Su, Y . Liu, Y . Zhou, J. Yuan, H. Cao, and J. Shi, “Broadband LEO satellite communications: Architectures and key technologies,”IEEE Wireless Communications, vol. 26, no. 2, pp. 55–61, 2019

    work page 2019

  7. [7]

    Massive mimo transmission for LEO satellite communications,

    L. You, K.-X. Li, J. Wang, X. Gao, X.-G. Xia, and B. Ottersten, “Massive mimo transmission for LEO satellite communications,”IEEE Journal on selected areas in communications, vol. 38, no. 8, pp. 1851–1865, 2020

    work page 2020

  8. [8]

    Laser intersatellite links in a starlink constellation: A classification and analysis,

    A. U. Chaudhry and H. Yanikomeroglu, “Laser intersatellite links in a starlink constellation: A classification and analysis,”IEEE Vehicular Technology Magazine, vol. 16, no. 2, pp. 48–56, 2021

    work page 2021

  9. [9]

    Mission-critical connectivity over LEO satellites: Performance measurements using OneWeb system,

    H. Kokkoniemi-Tarkkanen, K. Ahola, J. Suomalainen, M. H ¨oyhty¨a, M. S ¨aynevirta, and A. Kivist ¨o, “Mission-critical connectivity over LEO satellites: Performance measurements using OneWeb system,”IEEE Aerospace and Electronic Systems Magazine, vol. 40, no. 2, pp. 18– 30, 2024

    work page 2024

  10. [10]

    Distributed massive MIMO for LEO satellite networks,

    M. Y . Abdelsadek, G. K. Kurt, and H. Yanikomeroglu, “Distributed massive MIMO for LEO satellite networks,”IEEE Open Journal of the Communications Society, vol. 3, pp. 2162–2177, 2022

    work page 2022

  11. [11]

    Downlink transmit design for massive MIMO LEO satel- lite communications,

    K.-X. Li, L. You, J. Wang, X. Gao, C. G. Tsinos, S. Chatzinotas, and B. Ottersten, “Downlink transmit design for massive MIMO LEO satel- lite communications,”IEEE Transactions on Communications, vol. 70, no. 2, pp. 1014–1028, 2021

    work page 2021

  12. [12]

    Random access with massive MIMO-OTFS in LEO satellite communications,

    B. Shen, Y . Wu, J. An, C. Xing, L. Zhao, and W. Zhang, “Random access with massive MIMO-OTFS in LEO satellite communications,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 10, pp. 2865–2881, 2022

    work page 2022

  13. [13]

    OTFS versus OFDM: Which is superior in multiuser LEO satellite communications,

    Y . Liu, M. Chen, C. Pan, T. Gong, J. Yuan, and J. Wang, “OTFS versus OFDM: Which is superior in multiuser LEO satellite communications,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 1, pp. 139–155, 2024

    work page 2024

  14. [14]

    Towards Standardizing Affine Frequency Division Multiplexing (AFDM) for Future Wireless Networks

    Q. Luo, L. Xiao, P. Xiao, Z. Liu, Y . Xu, Q. Peng, Z. Sui, H. W. Kim, and H. Arslan, “Towards standardizing affine frequency division multiplexing (AFDM) for future wireless networks,” 2026. [Online]. Available: https://arxiv.org/abs/2606.13416

    work page internal anchor Pith review Pith/arXiv arXiv 2026

  15. [15]

    Channel estimation for LEO satellite massive MIMO OFDM communications,

    K.-X. Li, X. Gao, and X.-G. Xia, “Channel estimation for LEO satellite massive MIMO OFDM communications,”IEEE Transactions on Wire- less Communications, vol. 22, no. 11, pp. 7537–7550, 2023

    work page 2023

  16. [16]

    Joint bayesian channel estimation and data detection for OTFS systems in LEO satellite communications,

    X. Wang, W. Shen, C. Xing, J. An, and L. Hanzo, “Joint bayesian channel estimation and data detection for OTFS systems in LEO satellite communications,”IEEE Transactions on Communications, vol. 70, no. 7, pp. 4386–4399, 2022

    work page 2022

  17. [17]

    Dynamic beam coverage for satellite communications aided by movable-antenna array,

    L. Zhu, X. Pi, W. Ma, Z. Xiao, and R. Zhang, “Dynamic beam coverage for satellite communications aided by movable-antenna array,”IEEE Transactions on Wireless Communications, vol. 24, no. 3, pp. 1916– 1933, 2024

    work page 1916

  18. [18]

    RIS-assisted energy-efficient LEO satellite communications with NOMA,

    W. U. Khan, E. Lagunas, A. Mahmood, S. Chatzinotas, and B. Otter- sten, “RIS-assisted energy-efficient LEO satellite communications with NOMA,”IEEE Transactions on Green Communications and Network- ing, vol. 8, no. 2, pp. 780–790, 2023

    work page 2023

  19. [19]

    Multi-objective evolutionary policy learning aided resource management for SCMA LEO transmission,

    Z. Li, Q. Wei, J. Shi, P. Xiao, and R. Tafazolli, “Multi-objective evolutionary policy learning aided resource management for SCMA LEO transmission,”IEEE Transactions on Communications, vol. 74, pp. 9957–9969, 2026

    work page 2026

  20. [20]

    Deep reinforcement learning-based resource allocation for RSMA in LEO satellite-terrestrial networks,

    J. Huang, Y . Yang, J. Lee, D. He, and Y . Li, “Deep reinforcement learning-based resource allocation for RSMA in LEO satellite-terrestrial networks,”IEEE Transactions on Communications, vol. 72, no. 3, pp. 1341–1354, 2023

    work page 2023

  21. [21]

    Robust design for NOMA- based multibeam LEO satellite internet of things,

    J. Chu, X. Chen, C. Zhong, and Z. Zhang, “Robust design for NOMA- based multibeam LEO satellite internet of things,”IEEE Internet of Things journal, vol. 8, no. 3, pp. 1959–1970, 2020

    work page 1959

  22. [22]

    MIMO satellite communication systems: A survey from the phy layer perspective,

    J. Heo, S. Sung, H. Lee, I. Hwang, and D. Hong, “MIMO satellite communication systems: A survey from the phy layer perspective,”IEEE Communications Surveys & Tutorials, vol. 25, no. 3, pp. 1543–1570, 2023

    work page 2023

  23. [23]

    Rydberg states of alkali atoms in atomic vapour as SI-traceable field probes and communications receivers,

    N. Schlossberger, N. Prajapati, S. Berweger, A. P. Rotunno, A. B. Artusio-Glimpse, M. T. Simons, A. A. Sheikh, E. B. Norrgard, S. P. Eckel, and C. L. Holloway, “Rydberg states of alkali atoms in atomic vapour as SI-traceable field probes and communications receivers,” Nature Reviews Physics, vol. 6, no. 10, pp. 606–620, 2024

    work page 2024

  24. [24]

    Rydberg atom electric field sensing for metrology, communication and hybrid quantum systems,

    H. Zhang, Y . Ma, K. Liao, W. Yang, Z. Liu, D. Ding, H. Yan, W. Li, and L. Zhang, “Rydberg atom electric field sensing for metrology, communication and hybrid quantum systems,”Science bulletin, vol. 69, no. 10, pp. 1515–1535, 2024

    work page 2024

  25. [25]

    Rydberg atom electric field sensors for communications and sensing,

    C. T. Fancher, D. R. Scherer, M. C. S. John, and B. L. S. Marlow, “Rydberg atom electric field sensors for communications and sensing,” IEEE Transactions on Quantum Engineering, vol. 2, pp. 1–13, 2021

    work page 2021

  26. [26]

    Quantum shot noise limit in a rydberg rf receiver compared to thermal noise limit in a conventional receiver,

    L. W. Bussey, F. A. Burton, K. Bongs, J. Goldwin, and T. Whitley, “Quantum shot noise limit in a rydberg rf receiver compared to thermal noise limit in a conventional receiver,”IEEE Sensors Letters, vol. 6, no. 9, pp. 1–4, 2022

    work page 2022

  27. [27]

    Rydberg atomic quantum receivers for classical wireless communication and sensing,

    T. Gong, A. Chandra, C. Yuen, Y . L. Guan, R. Dumke, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum receivers for classical wireless communication and sensing,”IEEE Wireless Commu- nications, vol. 32, no. 5, pp. 90–100, 2025

    work page 2025

  28. [28]

    Beyond the RF Paradigm: Rydberg Atomic Receivers for Next-Generation IoT

    Q. Peng, Q. Luo, D. Xia, Z. Zhang, Z. Zhang, J. Wu, K. Wang, C. Pan, M. Elkashlan, P. Xiao, D. W. K. Ng, T. Q. Duong, G. K. Karagiannidis, and J. Wang, “Beyond the RF paradigm: Rydberg atomic receivers for next-generation IoT,” 2026. [Online]. Available: https://arxiv.org/abs/2606.01263

    work page internal anchor Pith review Pith/arXiv arXiv 2026

  29. [29]

    Harnessing rydberg atomic receivers: From quantum physics to wireless communications,

    Y . Chen, X. Guo, C. Yuen, Y . Zhao, Y . L. Guan, C. M. S. See, M. Debbah, and L. Hanzo, “Harnessing rydberg atomic receivers: From quantum physics to wireless communications,”IEEE Transactions on Wireless Communications, pp. 1–1, 2026

    work page 2026

  30. [30]

    Enhanced ground–satellite direct access via onboard Rydberg atomic quantum receivers,

    Q. Peng, T. Gong, Z. Song, Q. Luo, Z. Lin, P. Xiao, and C. Yuen, “Enhanced ground–satellite direct access via onboard Rydberg atomic quantum receivers,”IEEE Wireless Communications, vol. 33, no. 3, pp. 23–30, 2026

    work page 2026

  31. [31]

    Towards atomic MIMO receivers,

    M. Cui, Q. Zeng, and K. Huang, “Towards atomic MIMO receivers,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 3, pp. 659–673, 2025

    work page 2025

  32. [32]

    RIS-assisted atomic MIMO receiver,

    Q. Peng, J. Liu, Q. Luo, Y . Ma, P. Xiao, M. Elkashlan, and G. K. Karagiannidis, “RIS-assisted atomic MIMO receiver,”IEEE Trans. Veh. Technol., pp. 1–6, 2026

    work page 2026

  33. [33]

    Rydberg atomic quantum receivers for classical wireless communications and sensing: Their models and performance,

    T. Gong, J. Sun, C. Yuen, G. Hu, Y . Zhao, Y . L. Guan, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum receivers for classical wireless communications and sensing: Their models and performance,”IEEE Trans. Commun., vol. 74, pp. 7759–7778, 2026

    work page 2026

  34. [34]

    Rydberg atomic quantum MIMO receivers for the multi-user uplink,

    T. Gong, C. Yuen, C. M. S. See, M. Debbah, and L. Hanzo, “Rydberg atomic quantum MIMO receivers for the multi-user uplink,” 2026. [Online]. Available: https://arxiv.org/abs/2506.01355

    work page arXiv 2026

  35. [35]

    General signal model and capacity limit for Rydberg quantum information system,

    J. Zhu and L. Dai, “General signal model and capacity limit for Rydberg quantum information system,”IEEE Transactions on Wireless Communications, vol. 25, pp. 8292–8307, 2026

    work page 2026

  36. [36]

    Wideband quantum transduction for Rydberg atomic receivers using six-wave mixing,

    Y . Chen, C. Yuen, and C. M. S. See, “Wideband quantum transduction for Rydberg atomic receivers using six-wave mixing,” 2026. [Online]. Available: https://arxiv.org/abs/2602.13955

    work page internal anchor Pith review arXiv 2026

  37. [37]

    Polarization-aware DoA detection relying on a single rydberg atomic receiver,

    Y . Chen, C. Yuen, D. Arumugam, C. M. S. See, M. Debbah, and L. Hanzo, “Polarization-aware DoA detection relying on a single rydberg atomic receiver,”IEEE Journal on Selected Areas in Communications, vol. 44, pp. 4570–4584, 2026

    work page 2026

  38. [38]

    From active to battery-free: Rydberg atomic quantum receivers for self- sustained SWIPT-MIMO networks,

    Q. Peng, Q. Luo, Z. Chu, N. Ye, H. Ren, C. Pan, L. Xiao, and P. Xiao, “From active to battery-free: Rydberg atomic quantum receivers for self- sustained SWIPT-MIMO networks,”IEEE Journal on Selected Areas in Communications, vol. 44, pp. 4861–4875, 2026

    work page 2026

  39. [39]

    Signal-Dependent Shot Noise Modeling of Rydberg Atomic Quantum Receivers: A Design Perspective

    Q. Peng, Q. Luo, T. Gong, N. Ye, J. Wu, C. Pan, M. Elkashlan, P. Xiao, C. Yuen, G. K. Karagiannidis, and J. Wang, “Signal-dependent shot noise modeling of rydberg atomic quantum receivers: A design perspective,” 2026. [Online]. Available: https://arxiv.org/abs/2605.10350

    work page internal anchor Pith review Pith/arXiv arXiv 2026