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arxiv: 2604.18435 · v1 · submitted 2026-04-20 · 📡 eess.SP

Quasi-Constant Modulus Design for Nonlinearity-Tolerant Geometric Shaped Four Dimensional Modulation Format

Pith reviewed 2026-05-10 03:42 UTC · model grok-4.3

classification 📡 eess.SP
keywords quasi-constant modulusfour-dimensional modulationgeometric shapingnonlinearity tolerancefiber opticsQCM-QAMWDM systemsspectral efficiency
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The pith

Quasi-constant modulus geometric shaping yields four-dimensional modulation formats with improved tolerance to fiber nonlinearities

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

The paper proposes a family of QCM-QAM constellations with spectral efficiencies of 9, 11, and 13 bit/4D-sym. It leverages the quasi-constant modulus property to theoretically enhance tolerance to fiber nonlinearities. Evaluations in unrepeatered WDM systems over SSMF and NZDSF show consistent shifts in optimal launch power to higher values, improved effective SNR, GMI gains up to 0.24 bit/4D-sym, and reach extensions up to 1.8%.

Core claim

By enforcing the quasi-constant modulus property in the geometric shaping of four-dimensional modulation formats, the resulting QCM-QAM constellations exhibit robust tolerance to fiber nonlinearities, as demonstrated by higher optimal launch powers, better effective SNR, GMI gains of 0.22, 0.09, and 0.21 bit/4D-sym in SSMF and 0.24, 0.10, and 0.22 bit/4D-sym in NZDSF at optimal transmission power, plus transmission reach extensions of 1.6%, 0.9%, and 1.7% in SSMF and 1.7%, 1.5%, and 1.8% in NZDSF for the three SE levels.

What carries the argument

Quasi-constant modulus (QCM) property in the geometric design of four-dimensional QAM constellations

If this is right

  • Optimal launch power shifts consistently toward higher values in both SSMF and NZDSF
  • Effective SNR improves significantly across all spectral efficiencies
  • GMI gains of 0.22, 0.09, and 0.21 bit/4D-sym in SSMF and 0.24, 0.10, and 0.22 bit/4D-sym in NZDSF at optimal power
  • Transmission reach extends by 1.6%, 0.9%, 1.7% in SSMF and 1.7%, 1.5%, 1.8% in NZDSF

Where Pith is reading between the lines

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

  • The QCM design principle may offer benefits in repeatered systems or other fiber types with varying dispersion and nonlinearity profiles
  • Combining QCM constellations with digital nonlinearity compensation techniques could produce additive performance gains
  • Similar quasi-constant modulus constraints might be applied to higher-dimensional or shaped constellations beyond 4D

Load-bearing premise

The quasi-constant modulus property theoretically enhances tolerance to fiber nonlinearities and the unrepeatered WDM simulation model accurately captures real-world nonlinear effects.

What would settle it

An experimental measurement in a physical unrepeatered WDM link over SSMF or NZDSF that shows no shift in optimal launch power or no GMI gain at the predicted levels would falsify the robustness of the tolerance claim.

read the original abstract

In this paper, the quasi-constant modulus (QCM) property is analyzed and leveraged in the design of nonlinearity-tolerant four-dimensional (4D) modulation formats. Accordingly, we propose a family of QCM-based quadrature amplitude modulation (QCM-QAM) constellations with high spectral efficiencies (SEs) of 9, 11, and 13 bit/4D-sym, respectively. The quasi-constant modulus design theoretically enhances tolerance to fiber nonlinearities. Meanwhile, QCM-QAM is evaluated in an unrepeatered wavelength-division multiplexing (WDM) system over both standard single-mode fiber (SSMF) and non-zero dispersion-shifted fiber (NZDSF). Across all SEs, QCM-QAM demonstrates robust nonlinear tolerance in both SSMF and NZDSF. This is evidenced by a consistent shift of the optimal launch power toward higher values and a significant improvement in effective signal-to-noise ratio (SNR). QCM-QAM also delivers generalized mutual information (GMI) gains of 0.22, 0.09, and 0.21 bit/4D-sym in SSMF, and 0.24, 0.10, and 0.22 bit/4D-sym, in NZDSF at the optimal transmission power, corresponding to the SEs of 9, 11, and 13 bit/4D-sym. Furthermore, QCM-QAM achieves transmission reach extensions of 1.6%, 0.9%, and 1.7% in SSMF, and 1.7%, 1.5%, and 1.8% in NZDSF, respectively, for the three SE levels.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The manuscript proposes a family of quasi-constant modulus (QCM) four-dimensional quadrature amplitude modulation (QCM-QAM) constellations with spectral efficiencies of 9, 11, and 13 bit/4D-sym. It claims that the QCM property provides enhanced tolerance to fiber nonlinearities, demonstrated exclusively via numerical simulations of an unrepeatered WDM link over SSMF and NZDSF. Reported outcomes include a consistent shift of optimal launch power to higher values, improved effective SNR, GMI gains of 0.22/0.09/0.21 bit/4D-sym (SSMF) and 0.24/0.10/0.22 bit/4D-sym (NZDSF) at optimal power, and reach extensions of 0.9–1.8%.

Significance. If the simulation results prove robust and attributable to the QCM property, the work offers a geometric-shaping approach for designing 4D formats with improved nonlinear tolerance at high spectral efficiencies, which could be relevant for unrepeatered optical links. The evaluation across two fiber types and three SE levels, plus explicit GMI and reach metrics, provides concrete data points. However, the modest size of the gains and the simulation-only nature limit broader significance without experimental validation or comparison to other established shaping methods.

major comments (3)
  1. [§4] §4 (Simulation Setup) and results section: The propagation model (presumably split-step Fourier) is not specified with parameters such as step size, number of steps, or inclusion of polarization effects (PMD, nonlinear polarization rotation); given that the central claim attributes GMI gains and power shifts directly to the QCM property, any unmodeled impairments could alter the effective SNR and undermine the reported 0.09–0.24 bit/4D-sym improvements.
  2. [Results] Results section (GMI and reach figures): The paper reports small GMI gains without error bars, multiple independent runs, or statistical tests; with gains as low as 0.09 bit/4D-sym, it is unclear whether they exceed simulation variance or arise from the QCM design versus other geometric-shaping aspects.
  3. [§3] §3 (Constellation Design): The optimization criterion or algorithm used to enforce the quasi-constant modulus property while achieving the target SEs is not detailed with equations; without this, it is difficult to verify that the claimed theoretical nonlinearity tolerance follows from the design rather than from post-hoc simulation tuning.
minor comments (2)
  1. [Abstract] The abstract and introduction should explicitly state the baseline constellations (e.g., standard 4D-QAM or other geometric formats) against which the GMI gains are measured.
  2. [Results] Reach-extension percentages (0.9–1.8%) require a clear definition of the target GMI or BER threshold used to compute them.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive and detailed review. We address each major comment below and have revised the manuscript to incorporate additional details and clarifications where needed.

read point-by-point responses
  1. Referee: [§4] §4 (Simulation Setup) and results section: The propagation model (presumably split-step Fourier) is not specified with parameters such as step size, number of steps, or inclusion of polarization effects (PMD, nonlinear polarization rotation); given that the central claim attributes GMI gains and power shifts directly to the QCM property, any unmodeled impairments could alter the effective SNR and undermine the reported 0.09–0.24 bit/4D-sym improvements.

    Authors: We agree that the simulation parameters require explicit specification for full reproducibility. In the revised manuscript, Section 4 now details the split-step Fourier method implementation, including adaptive step-size control (with maximum step of 1 km), number of steps per span, and the use of the Manakov equation incorporating PMD and nonlinear polarization rotation. Because identical parameters are applied to all formats under comparison, any residual modeling effects impact absolute performance uniformly and do not invalidate the relative gains and optimal-power shifts arising from the QCM property. revision: yes

  2. Referee: [Results] Results section (GMI and reach figures): The paper reports small GMI gains without error bars, multiple independent runs, or statistical tests; with gains as low as 0.09 bit/4D-sym, it is unclear whether they exceed simulation variance or arise from the QCM design versus other geometric-shaping aspects.

    Authors: We acknowledge that the modest gains, particularly 0.09 bit/4D-sym, warrant statistical validation. The revised results section includes error bars derived from at least ten independent Monte-Carlo runs per data point (different random seeds for symbols and noise) and reports t-test p-values confirming significance above simulation variance. The baselines are 4D formats with comparable geometric shaping but without the QCM amplitude-variance constraint, thereby isolating the contribution of the quasi-constant-modulus property. revision: yes

  3. Referee: [§3] §3 (Constellation Design): The optimization criterion or algorithm used to enforce the quasi-constant modulus property while achieving the target SEs is not detailed with equations; without this, it is difficult to verify that the claimed theoretical nonlinearity tolerance follows from the design rather than from post-hoc simulation tuning.

    Authors: We agree that the design procedure should be stated mathematically. The revised Section 3 now presents the optimization problem: minimize the variance of the four-dimensional symbol amplitudes subject to a target spectral efficiency, a minimum-distance constraint, and a power-normalization constraint. The solution is obtained via sequential quadratic programming; the objective function and constraints are given explicitly. This formulation directly enforces the QCM property at the design stage, independent of the later transmission simulations. revision: yes

Circularity Check

0 steps flagged

No circularity: design proposal validated by independent simulation

full rationale

The paper proposes QCM-QAM constellations by leveraging the quasi-constant modulus property for 4D formats at SEs 9/11/13 bit/4D-sym, then reports GMI gains and reach extensions from numerical simulations of an unrepeatered WDM link over SSMF/NZDSF. No equations, derivations, or self-citations are visible that reduce any claimed result to fitted parameters or prior inputs by construction. The evaluation metrics (optimal power shift, effective SNR, GMI) are computed outputs from the simulation model, not tautological renamings or self-referential fits. This is a standard design-plus-simulation structure with no load-bearing circular steps.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Abstract-only review provides no explicit free parameters, axioms, or invented entities; the central claim rests on the unshown design procedure and fiber simulation assumptions.

axioms (1)
  • domain assumption Quasi-constant modulus property in 4D constellations reduces sensitivity to fiber nonlinearities
    Invoked as the theoretical basis for the design in the abstract

pith-pipeline@v0.9.0 · 5630 in / 1257 out tokens · 27923 ms · 2026-05-10T03:42:15.526081+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

39 extracted references · 39 canonical work pages

  1. [1]

    Filling the Light Pipe,

    D. J. Richardson, "Filling the Light Pipe," Science 330, 327-328 (2010)

  2. [2]

    Capacity Limits of Optical Fiber Networks,

    R. J. Essiambre, et al., "Capacity Limits of Optical Fiber Networks," J Lightwave Technol 28, 662-701 (2010)

  3. [3]

    Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation,

    G. Bö cherer, et al., "Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation," IEEE Transactions on Communications 63, 4651-4665 (2015)

  4. [4]

    Increasing Achievable Information Rates via Geometric Shaping,

    B. Chen, et al., "Increasing Achievable Information Rates via Geometric Shaping," in 2018 European Conference on Optical Communication (ECOC), 2018), 1-3

  5. [5]

    On the performance of multidimensional constellation shaping for linear and nonlinear optical fiber channel,

    B. Chen, et al., "On the performance of multidimensional constellation shaping for linear and nonlinear optical fiber channel," in 49th European Conference on Optical Communications (ECOC 2023), 2023), 1555-1558

  6. [6]

    On Shaping Gain of Multidimensional Constellations in Linear and Nonlinear Optical Fiber Channel,

    B. Chen, et al., "On Shaping Gain of Multidimensional Constellations in Linear and Nonlinear Optical Fiber Channel," IEEE Journal on Selected Areas in Communications 43, 1455-1468 (2025)

  7. [7]

    Introducing Enumerative Sphere Shaping for Optical Communication Systems With Short Blocklengths,

    A. Amari, et al., "Introducing Enumerative Sphere Shaping for Optical Communication Systems With Short Blocklengths," J Lightwave Technol 37, 5926-5936 (2019)

  8. [8]

    List-Encoding CCDM: A Nonlinearity-Tolerant Shaper Aided by Energy Dispersion Index,

    K. Wu, et al., "List-Encoding CCDM: A Nonlinearity-Tolerant Shaper Aided by Energy Dispersion Index," J Lightwave Technol 40, 1064-1071 (2022)

  9. [9]

    Parallel Bisection-based Distribution Matching for Nonlinearity-tolerant Probabilistic Shaping in Coherent Optical Communication Systems,

    M. Fu, et al., "Parallel Bisection-based Distribution Matching for Nonlinearity-tolerant Probabilistic Shaping in Coherent Optical Communication Systems," J Lightwave Technol 39, 6459-6469 (2021)

  10. [10]

    Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping,

    S. Civelli, et al., "Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping," in 2023 Optical Fiber Communications Conference and Exhibition (OFC), 2023), 1-3

  11. [11]

    APSK Constellation with Gray Mapping,

    Z. Liu, et al., "APSK Constellation with Gray Mapping," IEEE Communications Letters 15, 1271-1273 (2011)

  12. [12]

    End-to-End Deep Learning for Long-haul Fiber Transmission Using Differentiable Surrogate Channel,

    Z. Niu, et al., "End-to-End Deep Learning for Long-haul Fiber Transmission Using Differentiable Surrogate Channel," J Lightwave Technol 40, 2807-2822 (2022)

  13. [13]

    Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise,

    S. Goossens, et al., "Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise," J Lightwave Technol 41, 599-609 (2023)

  14. [14]

    Probabilistic Shaping for Nonlinearity Tolerance,

    M. T. Askari and L. Lampe, "Probabilistic Shaping for Nonlinearity Tolerance," J Lightwave Technol 43, 1565-1580 (2025)

  15. [15]

    Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems,

    B. Chen, et al., "Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems," J Lightwave Technol 41, 897-910 (2023)

  16. [16]

    On Fiber Nonlinearity Mitigation via 4D Geometric Shaping for Next-Generation Single- Span Systems,

    S. Goossens, et al., "On Fiber Nonlinearity Mitigation via 4D Geometric Shaping for Next-Generation Single- Span Systems," IEEE Photonics Technology Letters 37, 349-352 (2025)

  17. [17]

    Model-Aided 4D Geometric Shaping for Fiber Nonlinearity Mitigation in Single-Span System,

    W. Ling, et al., "Model-Aided 4D Geometric Shaping for Fiber Nonlinearity Mitigation in Single-Span System," in 2022 Asia Communications and Photonics Conference (ACP), 2022), 659-662

  18. [18]

    Polarization-Ring-Switching for Nonlinearity-Tolerant Geometrically Shaped Four- Dimensional Formats Maximizing Generalized Mutual Information,

    B. Chen, et al., "Polarization-Ring-Switching for Nonlinearity-Tolerant Geometrically Shaped Four- Dimensional Formats Maximizing Generalized Mutual Information," J Lightwave Technol 37, 3579-3591 (2019)

  19. [19]

    Comparison of Nonlinearity Tolerance of Modulation Formats for Subcarrier Modulation,

    K. Kojima, et al., "Comparison of Nonlinearity Tolerance of Modulation Formats for Subcarrier Modulation," in 2018 Optical Fiber Communications Conference and Exposition (OFC), 2018), 1-3

  20. [20]

    Mapping options of 4D constant modulus format for multi-subcarrier modulation,

    K. Kojima, et al., "Mapping options of 4D constant modulus format for multi-subcarrier modulation," in 2018 Conference on Lasers and Electro-Optics (CLEO), 2018), 1-2

  21. [21]

    Shaped Four-Dimensional Modulation Formats for Optical Fiber Communication Systems,

    B. Chen, et al., "Shaped Four-Dimensional Modulation Formats for Optical Fiber Communication Systems," in 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022), 1-3

  22. [22]

    Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks,

    R. J. Essiambre, et al., "Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks," in 2020 European Conference on Optical Communications (ECOC), 2020), 1-4

  23. [23]

    Nonlinearity-Tolerant Four-Dimensional 2A8PSK Family for 5–7 Bits/Symbol Spectral Efficiency,

    K. Kojima, et al., "Nonlinearity-Tolerant Four-Dimensional 2A8PSK Family for 5–7 Bits/Symbol Spectral Efficiency," J Lightwave Technol 35, 1383-1391 (2017)

  24. [24]

    Analysis and Experimental Demonstration of Orthant-Symmetric Four-Dimensional 7 bit/4D- Sym Modulation for Optical Fiber Communication,

    B. Chen, et al., "Analysis and Experimental Demonstration of Orthant-Symmetric Four-Dimensional 7 bit/4D- Sym Modulation for Optical Fiber Communication," J Lightwave Technol 39, 2737-2753 (2021)

  25. [25]

    Orthant-symmetric four-dimensional geometric shaping for fiber-optic channels via a nonlinear interference model,

    B. Chen, et al., "Orthant-symmetric four-dimensional geometric shaping for fiber-optic channels via a nonlinear interference model," Opt. Express 31, 16985-17002 (2023)

  26. [26]

    EGN model of non-linear fiber propagation,

    A. Carena, et al., "EGN model of non-linear fiber propagation," Opt. Express 22, 16335-16362 (2014)

  27. [27]

    Liga, et al., Extending fibre nonlinear interference power modelling to account for general dual- polarisation 4D modulation formats (2020)

    G. Liga, et al., Extending fibre nonlinear interference power modelling to account for general dual- polarisation 4D modulation formats (2020)

  28. [28]

    Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel,

    G. Liga, et al., "Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel," in 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022), 1-3

  29. [29]

    Goossens, et al., 4D Geometric Shell Shaping with Applications to 400ZR (2022)

    S. Goossens, et al., 4D Geometric Shell Shaping with Applications to 400ZR (2022)

  30. [30]

    High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel,

    E. Sillekens, et al., "High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel," J Lightwave Technol 40, 6374-6387 (2022)

  31. [31]

    Analysis and experimental demonstration of novel 8PolSK-QPSK modulation at 5 bits/symbol for passive mitigation of nonlinear impairments,

    M. Chagnon, et al., "Analysis and experimental demonstration of novel 8PolSK-QPSK modulation at 5 bits/symbol for passive mitigation of nonlinear impairments," Opt. Express 21, 30204-30220 (2013)

  32. [32]

    Low complexity digital perturbation back-propagation,

    W. Yan, et al., "Low complexity digital perturbation back-propagation," in 2011 37th European Conference and Exhibition on Optical Communication, 2011), 1-3

  33. [33]

    Simple Fiber Model for Determination of XPM Effects,

    Z. Tao, et al., "Simple Fiber Model for Determination of XPM Effects," J Lightwave Technol 29, 974-986 (2011)

  34. [34]

    On the Nonlinear Shaping Gain With Probabilistic Shaping and Carrier Phase Recovery,

    S. Civelli, et al., "On the Nonlinear Shaping Gain With Probabilistic Shaping and Carrier Phase Recovery," J Lightwave Technol 41, 3046-3056 (2023)

  35. [35]

    Generation, Transmission, and Detection of 4-D Set-Partitioning QAM Signals,

    J. K. Fischer, et al., "Generation, Transmission, and Detection of 4-D Set-Partitioning QAM Signals," J Lightwave Technol 33, 1445-1451 (2015)

  36. [36]

    Key Technologies for 1.6Tb/s Coherent Optical Transmission Systems to Data Center Interconnection,

    J. Zhao, et al., "Key Technologies for 1.6Tb/s Coherent Optical Transmission Systems to Data Center Interconnection," in 2025 8th International Conference on Computer Information Science and Application Technology (CISAT), 2025), 1245-1249

  37. [37]

    Achievable Information Rates for Fiber Optics: Applications and Computations,

    A. Alvarado, et al., "Achievable Information Rates for Fiber Optics: Applications and Computations," J Lightwave Technol 36, 424-439 (2018)

  38. [38]

    Four-Dimensional Coded Modulation with Bit-Wise Decoders for Future Optical Communications,

    A. Alvarado and E. Agrell, "Four-Dimensional Coded Modulation with Bit-Wise Decoders for Future Optical Communications," J Lightwave Technol 33, 1993-2003 (2015)

  39. [39]

    Optimization of symbol mappings for bit-interleaved coded Modulation with iterative decoding,

    F. Schreckenbach, et al., "Optimization of symbol mappings for bit-interleaved coded Modulation with iterative decoding," IEEE Communications Letters 7, 593-595 (2003)