pith. sign in

arxiv: 2607.02111 · v1 · pith:DOUZ33A2new · submitted 2026-07-02 · 📡 eess.SP

Three-Dimensional Spatial Correlation Modeling for Cylindrical mMIMO Arrays in HAPS

Pith reviewed 2026-07-03 07:50 UTC · model grok-4.3

classification 📡 eess.SP
keywords spatial correlation functioncylindrical arraymassive MIMOhigh-altitude platform stations3D channel modelingspherical harmonic expansionFourier series
0
0 comments X

The pith

An exact closed-form expression is derived for the spatial correlation function of 3D MIMO channels using cylindrical antenna arrays.

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

The paper derives an exact closed-form expression for the spatial correlation function in three-dimensional massive MIMO channels where antennas form a cylindrical array. Existing models apply only to planar or linear arrays and cannot handle the cylindrical geometry used by high-altitude platform stations for wide coverage. The derivation starts from the spherical harmonic expansion of plane waves and incorporates arbitrary antenna radiation patterns through the Fourier series coefficients of the power azimuth and zenith spectra. A reader would care because an exact expression makes it possible to characterize channel degrees of freedom precisely for any pattern or angular distribution without repeated simulations.

Core claim

The spatial correlation function for 3D MIMO channels with cylindrical arrays admits an exact closed-form expression obtained via the spherical harmonic expansion of plane waves; the expression is fully determined by the Fourier series coefficients of the power azimuth and zenith spectra together with the antenna radiation patterns.

What carries the argument

Spherical harmonic expansion of plane waves combined with Fourier series coefficients of the power azimuth and zenith spectra.

If this is right

  • Correlation values can be obtained exactly for arbitrary antenna radiation patterns without Monte Carlo sampling.
  • Any angular power distribution is incorporated through its Fourier series coefficients.
  • The expression applies directly to high-altitude platform station deployments using cylindrical mMIMO.
  • Validation under standard-compliant settings confirms agreement with Monte Carlo results.

Where Pith is reading between the lines

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

  • The same expansion approach may yield closed-form correlations for other non-planar array shapes once their geometry is expressed in spherical harmonics.
  • Exact correlation expressions could support analytical studies of achievable rate and beamforming gain in HAPS networks.
  • Parameter optimization over array radius or height becomes feasible when the correlation is available in closed form.

Load-bearing premise

The power azimuth and zenith spectra can be represented accurately by their Fourier series coefficients, and these coefficients together with arbitrary radiation patterns fully determine the correlation for cylindrical geometry.

What would settle it

Numerical quadrature of the defining integral for spatial correlation on a specific cylindrical array and angular spectrum that produces a value different from the closed-form expression.

Figures

Figures reproduced from arXiv: 2607.02111 by Abla Kammoun, Mohamed-Slim Alouini, Shasha Liu.

Figure 1
Figure 1. Figure 1: Antenna configuration of HAPS A. Antenna Configuration [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Fig.2. Since each antenna has been rotated, we endow [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 2
Figure 2. Figure 2: Element 1 is chosen as the reference element. 1) Impact of Azimuth Angular Distribution on Spatial Correlation [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Correlation validation of surface cylindrical antenna array. [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: Correlation with respect to element (1, 1) on the curved surface. 2) Impact of Antenna Spacing on Spatial Correlation [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 4
Figure 4. Figure 4: Correlation for elements in the bottom ring with reference [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: Correlation with respect to element 1 on the bottom ring. 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 Normalized antenna spacing, d/ 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Theoretical, =5, Monte-Carlo, =5 Theoretical, =15, Monte-Carlo, =15 Theoretical, =25, Monte-Carlo, =25 [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Effect of azimuth angular spread on correlation over the [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗
Figure 10
Figure 10. Figure 10: Effect of zenith angular spread on correlation over the [PITH_FULL_IMAGE:figures/full_fig_p012_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Normalized Spatial Correlation Matrix R diagonal blocks. This is because the boresight directions of the curved-surface and bottom antenna elements are nearly orthogonal, resulting in a substantial reduction in their common angular visibility. Consequently, the overlap of their antenna radiation patterns is limited, which suppresses the contribution of common scatterers to the spatial correlation. The num… view at source ↗
Figure 14
Figure 14. Figure 14: SINR distributions for user for different antenna distribution [PITH_FULL_IMAGE:figures/full_fig_p013_14.png] view at source ↗
Figure 13
Figure 13. Figure 13: SINR Distributions for User [PITH_FULL_IMAGE:figures/full_fig_p013_13.png] view at source ↗
read the original abstract

High-altitude platform stations (HAPS) are envisioned as a key component of future wireless networks, enabling ultra-wide coverage and providing direct connectivity to users with cylindrical massive multiple-input multiple-output (mMIMO) systems. Exploiting the channel degrees of freedom necessitates accurate modeling and characterization of three-dimensional (3D) channels in the presence of spatial correlation functions (SCFs). However, existing spatial correlation models are primarily developed for planar or linear antenna arrays and cannot be directly applied to cylindrical geometries commonly adopted by HAPS platforms. To address this limitation, this paper derives an exact closed-form expression for the SCF of 3D MIMO channels with antenna elements arranged in a cylindrical array. The proposed formulation is based on the spherical harmonic expansion (SHE) of plane waves and accommodates arbitrary antenna radiation patterns and angular distributions through the Fourier series (FS) coefficients of the power azimuth and zenith spectra. The derived SCF is validated through Monte Carlo simulations under standard-compliant settings.

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

0 major / 2 minor

Summary. The paper derives an exact closed-form expression for the spatial correlation function (SCF) of 3D MIMO channels with cylindrical antenna arrays for HAPS, using spherical harmonic expansion of plane waves combined with Fourier series coefficients of the power azimuth and zenith spectra. The formulation accommodates arbitrary radiation patterns and is validated via Monte Carlo simulations under standard-compliant angular spectra.

Significance. If the derivation holds without hidden approximations, the closed-form SCF would supply a practical analytical tool for cylindrical mMIMO in HAPS scenarios, where existing planar-array models do not apply. Credit is due for the direct use of standard spherical-harmonic and Fourier machinery to eliminate integrals, together with the independent Monte Carlo check that supplies a falsifiable numerical test of the final formula.

minor comments (2)
  1. [Abstract] The abstract states that the SCF 'accommodates arbitrary antenna radiation patterns' via FS coefficients, but the precise manner in which the radiation pattern is folded into the spherical-harmonic coefficients is not previewed; a one-sentence clarification would help readers locate the relevant step in the derivation.
  2. [Validation section] The Monte Carlo validation is described as using 'standard-compliant settings,' yet the specific 3GPP or other angular-spectrum parameters (e.g., the exact values of the FS coefficients or the cylinder radius in wavelengths) are not listed in the abstract; adding these in the validation section would improve reproducibility.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the constructive review and the recommendation of minor revision. The report correctly identifies the core contribution as an exact closed-form SCF derived via spherical-harmonic expansion and Fourier-series coefficients of the angular spectra, validated by Monte Carlo simulation.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The derivation relies on the standard spherical-harmonic expansion of the plane-wave kernel together with the Fourier-series representation of the azimuth and zenith power spectra. These are external mathematical tools applied to the cylindrical geometry via known phase factors for element positions; the resulting closed-form SCF is expressed directly in terms of the input coefficients and radiation patterns without any fitted parameter being renamed as a prediction or any self-citation chain carrying the central claim. Monte-Carlo validation under standard angular spectra supplies an independent numerical check. The approach is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Abstract-only; relies on standard mathematical expansions (spherical harmonics, Fourier series) assumed to apply without additional justification in the provided text. No free parameters or invented entities are mentioned.

axioms (2)
  • standard math Plane waves admit spherical harmonic expansion
    Invoked to derive the SCF expression
  • domain assumption Power azimuth and zenith spectra admit Fourier series representation
    Used to accommodate arbitrary angular distributions

pith-pipeline@v0.9.1-grok · 5703 in / 1128 out tokens · 23939 ms · 2026-07-03T07:50:33.124885+00:00 · methodology

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

30 extracted references

  1. [1]

    The role of high-altitude platforms (haps) in the global wireless connectivity,

    A. Mohammed, A. Mehmood, F.-N. Pavlidou, and M. Mohor- cic, “The role of high-altitude platforms (haps) in the global wireless connectivity,” Proceedings of the IEEE, vol. 99, no. 11, pp. 1939–1953, 2011

  2. [2]

    System design of gigabit haps mobile commu- nications,

    Y. Shibata, N. Kanazawa, M. Konishi, K. Hoshino, Y. Ohta, and A. Nagate, “System design of gigabit haps mobile commu- nications,” IEEE Access, vol. 8, pp. 157 995–158 007, 2020

  3. [3]

    Scaling up mimo: Opportunities and challenges with very large arrays,

    F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, “Scaling up mimo: Opportunities and challenges with very large arrays,” IEEE signal processing magazine, vol. 30, no. 1, pp. 40–60, 2012

  4. [4]

    Massive mimo for next generation wireless systems,

    E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, “Massive mimo for next generation wireless systems,” IEEE communications magazine, vol. 52, no. 2, pp. 186–195, 2014

  5. [5]

    Massive mimo in the ul/dl of cellular networks: How many antennas do we need?

    J. Hoydis, S. Ten Brink, and M. Debbah, “Massive mimo in the ul/dl of cellular networks: How many antennas do we need?” IEEE Journal on selected Areas in Communications, vol. 31, no. 2, pp. 160–171, 2013

  6. [6]

    Supporting iot with rate-splitting multiple access in satellite and aerial-integrated networks,

    Z. Lin, M. Lin, T. De Cola, J.-B. Wang, W.-P. Zhu, and J. Cheng, “Supporting iot with rate-splitting multiple access in satellite and aerial-integrated networks,” IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11 123–11 134, 2021

  7. [7]

    Refracting ris-aided hybrid satellite-terrestrial relay networks: Joint beamforming design and optimization,

    Z. Lin, H. Niu, K. An, Y. Wang, G. Zheng, S. Chatzinotas, and Y. Hu, “Refracting ris-aided hybrid satellite-terrestrial relay networks: Joint beamforming design and optimization,” IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 4, pp. 3717–3724, 2022

  8. [8]

    Self-powered absorptive reconfigurable intelligent surfaces for securing satellite-terrestrial integrated networks,

    L. Zhi, N. Hehao, H. Yuanzhi, A. Kang, Z. Xudong, C. Zheng, and X. Pei, “Self-powered absorptive reconfigurable intelligent surfaces for securing satellite-terrestrial integrated networks,” China Communications, vol. 21, no. 9, pp. 276–291, 2024

  9. [9]

    Exploiting multi-layer refracting ris- assisted receiver for hap-swipt networks,

    K. An, Y. Sun, Z. Lin, Y. Zhu, W. Ni, N. Al-Dhahir, K.-K. Wong, and D. Niyato, “Exploiting multi-layer refracting ris- assisted receiver for hap-swipt networks,” IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 12 638–12 657, 2024

  10. [10]

    High altitude platform station based super macro base station constellations,

    M. S. Alam, G. K. Kurt, H. Yanikomeroglu, P. Zhu, and N. D. DJào, “High altitude platform station based super macro base station constellations,” IEEE Communications Magazine, vol. 59, no. 1, pp. 103–109, 2021

  11. [11]

    A vision and framework for the high altitude platform station (haps) networks of the future,

    G. K. Kurt, M. G. Khoshkholgh, S. Alfattani, A. Ibrahim, T. S. Darwish, M. S. Alam, H. Yanikomeroglu, and A. Yongacoglu, “A vision and framework for the high altitude platform station (haps) networks of the future,” IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 729–779, 2021

  12. [12]

    Cylindrical massive mimo system for haps: Capacity enhancement and coverage ex- tension,

    K. Tashiro, K. Hoshino, and A. Nagate, “Cylindrical massive mimo system for haps: Capacity enhancement and coverage ex- tension,” in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 2021, pp. 1–6

  13. [13]

    Cylin- drical antenna system for cell fixation and coverage extension in haps,

    Y. Zhou, W. Li, K. Wang, J. Ouyang, and Y. Wang, “Cylin- drical antenna system for cell fixation and coverage extension in haps,” in 2023 International Applied Computational Elec- tromagnetics Society Symposium (ACES-China). IEEE, 2023, pp. 1–3. 15

  14. [14]

    Multi-layer multi- user mimo with cylindrical arrays under 3gpp 3d channel model for b5g/6g networks,

    D. G. Riviello, R. Tuninato, and R. Garello, “Multi-layer multi- user mimo with cylindrical arrays under 3gpp 3d channel model for b5g/6g networks,” IEEE Access, 2024

  15. [15]

    Fading correlation and its effect on the capacity of multielement an- tenna systems,

    D.-S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation and its effect on the capacity of multielement an- tenna systems,” IEEE Transactions on communications, vol. 48, no. 3, pp. 502–513, 2000

  16. [16]

    Capacity of correlated mimo rayleigh channels,

    M. Kang and M.-S. Alouini, “Capacity of correlated mimo rayleigh channels,” IEEE Transactions on Wireless Commu- nications, vol. 5, no. 1, pp. 143–155, 2006

  17. [17]

    Effect of antenna separation on the capacity of blast in correlated channels,

    D. Chizhik, F. Rashid-Farrokhi, J. Ling, and A. Lozano, “Effect of antenna separation on the capacity of blast in correlated channels,” IEEE Communications letters, vol. 4, no. 11, pp. 337–339, 2000

  18. [18]

    Statistical antenna selec- tion for spatial multiplexing systems,

    D. Gore, R. Heath, and A. Paulraj, “Statistical antenna selec- tion for spatial multiplexing systems,” in 2002 IEEE Interna- tional Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No. 02CH37333), vol. 1. IEEE, 2002, pp. 450– 454

  19. [19]

    Simplified spatial correlation models for clustered mimo channels with different array configurations,

    A. Forenza, D. J. Love, and R. W. Heath, “Simplified spatial correlation models for clustered mimo channels with different array configurations,” IEEE Transactions on Vehicular Tech- nology, vol. 56, no. 4, pp. 1924–1934, 2007

  20. [20]

    Three-dimensional hap- mimo channels: Modeling and analysis of space-time correla- tion,

    E. T. Michailidis and A. G. Kanatas, “Three-dimensional hap- mimo channels: Modeling and analysis of space-time correla- tion,” IEEE Transactions on Vehicular Technology, vol. 59, no. 5, pp. 2232–2242, 2010

  21. [21]

    A generalized spatial correlation model for 3d mimo channels based on the fourier coefficients of power spectrums,

    Q.-U.-A. Nadeem, A. Kammoun, M. Debbah, and M.-S. Alouini, “A generalized spatial correlation model for 3d mimo channels based on the fourier coefficients of power spectrums,” IEEE Transactions on Signal Processing, vol. 63, no. 14, pp. 3671–3686, 2015

  22. [22]

    Spatial correlation characterization of a full dimension massive mimo system,

    A. Kammoun, M. Debbah, M.-S. Alouini et al., “Spatial correlation characterization of a full dimension massive mimo system,” in 2016 IEEE Global Communications Conference (GLOBECOM). IEEE, 2016, pp. 1–7

  23. [23]

    Design of 5g full dimension massive mimo systems,

    Q.-U.-A. Nadeem, A. Kammoun, M. Debbah, and M.-S. Alouini, “Design of 5g full dimension massive mimo systems,” IEEE Transactions on Communications, vol. 66, no. 2, pp. 726– 740, 2017

  24. [24]

    Hemispheri- cal massive mimo architecture for high-altitude platform station (haps),

    O. Abbasi, H. Yanikomeroglu, and G. Kaddoum, “Hemispheri- cal massive mimo architecture for high-altitude platform station (haps),” in 2024 IEEE Wireless Communications and Network- ing Conference (WCNC). IEEE, 2024, pp. 1–6

  25. [25]

    Study on New Radio (NR) to Support Non-Terrestrial Net- works (Release 15),

    “Study on New Radio (NR) to Support Non-Terrestrial Net- works (Release 15),” 3rd Generation Partnership Project (3GPP), Sophia Antipolis, France, Tech. Rep. TR 38.811 V15.2.0, 2019

  26. [26]

    T. J. Rivlin, An introduction to the approximation of functions. Courier Corporation, 1981

  27. [27]

    Charac- terization of 3d spatial wireless channels,

    T. D. Abhayapala, T. S. Pollock, and R. A. Kennedy, “Charac- terization of 3d spatial wireless channels,” in 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No. 03CH37484), vol. 1. IEEE, 2003, pp. 123–127

  28. [28]

    D. L. Colton, R. Kress, and R. Kress, Inverse acoustic and electromagnetic scattering theory. Springer, 1998, vol. 93

  29. [29]

    R. A. Kennedy and P. Sadeghi, Hilbert space methods in signal processing. Cambridge University Press, 2013

  30. [30]

    Table of fourier coefficients of associated legendre functions,

    D. Hofsommer and M. Potters, “Table of fourier coefficients of associated legendre functions,” Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen: Series A: Mathe- matical Sciences, vol. 63, no. 5, pp. 460–480, 1960