Spatially-Stationary Model for Holographic MIMO Small-Scale Fading
Open accessAbstract
Imagine an array with a massive (possibly uncountably infinite) number of antennas in a compact space. We refer to a system of this sort as Holographic MIMO. Given the impressive properties of Massive MIMO, one might expect a holographic array to realize extreme spatial resolution, incredible energy efficiency, and unprecedented spectral efficiency. At present, however, its fundamental limits have not been conclusively established. A major challenge for the analysis and understanding of such a paradigm shift is the lack of mathematically tractable and numerically reproducible channel models that retain some semblance to the physical reality. Detailed physical models are, in general, too complex for tractable analysis. This paper aims to take a closer look at this interdisciplinary challenge. Particularly, we consider the small-scale fading in the far-field, and we model it as a zero-mean, spatially-stationary, and correlated Gaussian scalar random field. A physically-meaningful correlation is obtained by requiring that the random field be consistent with the scalar Helmholtz equation. This formulation leads directly to a rather simple and exact description of the three-dimensional small-scale fading as a Fourier plane-wave spectral representation. Suitably discretized, this yields a discrete representation for the field as a Fourier plane-wave series expansion, from which a computationally efficient way to generate samples of the small-scale fading over spatially-constrained compact spaces is developed. The connections with the conventional tools of linear systems theory and Fourier transform are thoroughly discussed.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
RIS can be integrated with transceivers to make use of the entire surface for both transmission and reception, enabling holographic MIMO communications.
“In addition, RIS can be integrated with transceivers to make use of the entire surface for both transmission and reception, as shown in Fig. 2(a), enabling holographic MIMO (HMIMO) communications [49], [50].”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [49]
The Introduction (page unavailable) describes holographic MIMO as a compact array of densely integrated antennas that approaches a continuous electromagnetic aperture, and links the field to large intelligent surfaces. It does not say that a reconfigurable intelligent surface (RIS) can be integrated with transceivers to use the entire surface for both transmission and reception. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Energy and spectral efficiency of very large multiuser MIMO systems
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.020413.110848 · Cited by 3,173 · see citing works
Self-citationBeyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
Hu, S., Rusek, F., & Edfors, O. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2816577 · Cited by 892 · see citing works
Flagged first, then by citations
Research works printed but not linked: 37
- T. Marzetta, "Spatially-stationary propagating random field model for Massive MIMO small-scale fading," in IEEE International Symposium on Information Theory, 2018. Proceedings., June 2018.
- T. L. Marzetta, "Noncooperative cellular wireless with unlimited numbers of base station antennas," IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590-3600, November 2010.
- T. L. Marzetta, E. G. Larsson, H. Yang, and H. Q. Ngo, Fundamentals of Massive MIMO. Cambridge University Press, 2016.
- E. Björnson, J. Hoydis, and L. Sanguinetti, Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency. Foundations and Trends in Signal Processing, 2017, vol. 11, no. 3-4.
- E. Björnson, L. Sanguinetti, H. Wymeersch, J. Hoydis, and T. L. Marzetta, "Massive MIMO is a Reality -What is Next? Five Promising Research Directions for Antenna Arrays," Digital Signal Processing, vol. 94, no. 3, pp. 3-20, November 2019.
- E. Björnson, J. Hoydis, and L. Sanguinetti, "Massive MIMO has unlimited capacity," IEEE Trans. Wireless Commun., vol. 17, no. 1, pp. 574-590, Jan 2018.
- E. Björnson, L. Sanguinetti, J. Hoydis, and M. Debbah, "Optimal design of energy-efficient multi-user MIMO systems: Is Massive MIMO the answer?" IEEE Trans. Wireless Commun., vol. 14, no. 6, pp. 3059-3075, June 2015.
- H. V. Cheng, E. Björnson, and E. G. Larsson, "Optimal pilot and payload power control in single-cell Massive MIMO systems," IEEE Trans. Signal Process., vol. 65, no. 9, pp. 2363-2378, May 2017.
- L. Sanguinetti, E. Björnson, and J. Hoydis, "Towards massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination," IEEE Transactions on Communications, vol. 68, no. 1, pp. 232-257, January 2020.
- D. W. Prather, S. Shi, G. J. Schneider, P. Yao, C. Schuetz, J. Murakowski, J. C. Deroba, F. Wang, M. R. Konkol, and D. D. Ross, "Optically upconverted, spatially coherent phased-array-antenna feed networks for beam-space MIMO in 5G cellular communications," IEEE Transactions on Antennas and Propagation, vol. 65, no. 12, pp. 6432-6443, Dec 2017.
- D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, 2005.
- D. Dardari, "Communication with large intelligent surfaces: Fundamental limits and models," CoRR, vol. abs/1912.01719, 2019. · arXiv
- A. S. Y. Poon, R. W. Brodersen, and D. N. C. Tse, "A spatial channel model for multiple-antenna systems," in IEEE Antennas and Propagation Society Symposium, 2004., vol. 4, June 2004, pp. 3665-3668 Vol.4.
- A. S. Y. Poon, D. N. C. Tse, and R. W. Brodersen, "Impact of scattering on the capacity, diversity, and propagation range of multiple-antenna channels," IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 1087-1100, March 2006.
- R. H. Clarke, "A statistical theory of mobile-radio reception," The Bell System Technical Journal, vol. 47, no. 6, pp. 957-1000, July 1968.
- T. Aulin, "A modified model for the fading signal at a mobile radio channel," IEEE Trans. Veh. Technol., vol. 28, no. 3, pp. 182-203, Aug 1979.
- A. L. Moustakas, H. U. Baranger, L. Balents, A. M. Sengupta, and S. H. Simon, "Communication through a diffusive medium: Coherence and capacity," Science, vol. 287, no. 5451, pp. 287-290, 2000.
- A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications. Cambridge, UK: Cambridge University Press, 2003.
- A. F. Molisch, Wireless Communications, Second Edition. Wiley, 2010.
- Q. Nadeem, A. Kammoun, M. Debbah, and M. Alouini, "A generalized spatial correlation model for 3D MIMO channels based on the fourier coefficients of power spectrums," IEEE Trans. Signal Process., vol. 63, no. 14, pp. 3671-3686, July 2015.
- T. L. Marzetta, E. G. Larsson, and T. B. Hansen, Massive MIMO and Beyond. Cambridge University Press, 2019.
- W. C. Chew, Waves and Fields in Inhomogenous Media. Wiley-IEEE Press, 1995.
- F. B. Hildebrand, Advanced Calculus for Applications. Prentice Hall, 1962.
- A. Stratton, Principles of Digital Communication. Wiley, 2015.
- T. K. Sarkar, Zhong Ji, Kyungjung Kim, A. Medouri, and M. Salazar-Palma, "A survey of various propagation models for mobile communication," IEEE Antennas and Propagation Magazine, vol. 45, no. 3, pp. 51-82, June 2003.
- M. Franceschetti, Wave Theory of Information. Cambridge University Press, 2017.
- R. G. Gallager, Principles of Digital Communication. Cambridge University Press, 2008.
- T. L. Marzetta and B. M. Hochwald, "Capacity of a mobile multiple-antenna communication link in rayleigh flat fading," IEEE Trans. Inf. Theory, vol. 45, no. 1, pp. 139-157, Jan 1999.
- G. B. Arfken, H. J. Weber, and F. E. Harris, Mathematical Methods for Physicists, G. B. Arfken, H. J. Weber, and F. E. Harris, Eds. Boston: Academic Press, 2013.
- H. L. Van Trees, Detection Estimation and Modulation Theory, Part I. Wiley, 1968.
- M. Frigo, "A fast fourier transform compiler," in Proceedings of the ACM SIGPLAN 1999 Conference on Programming Language Design and Implementation, ser. PLDI '99. New York, NY, USA: ACM, 1999, pp. 169-180.
- A. Pizzo, T. L. Marzetta, and L. Sanguinetti, "Degrees of freedom of Holographic MIMO channels," in 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, Submitted to 2020.
- M. Franceschetti, "On Landau's eigenvalue theorem and information cut-sets," IEEE Trans. Inf. Theory, vol. 61, no. 9, pp. 5042-5051, Sept 2015.
- A. S. Y. Poon, R. W. Brodersen, and D. N. C. Tse, "Degrees of freedom in multiple-antenna channels: a signal space approach," IEEE Trans. Inf. Theory, vol. 51, no. 2, pp. 523-536, Feb 2005.
- M. Zhang, M. Polese, M. Mezzavilla, S. Rangan, and M. Zorzi, "Ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz," in Proceedings of the Workshop on Ns-3, ser. WNS3 '17. New York, NY, USA: Association for Computing Machinery, 2017, p. 71-78.
- K. Sengupta, T. Nagatsuma, and D. Mittleman, "Terahertz integrated electronic and hybrid electronic-photonic systems," Nature Electronics, vol. 1, no. 12, pp. 622-635, Dec 2018.
- I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products. Academic Press, 1965.
Cited by
Sorted by citations
Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2026) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2025.3571069 · Cited by 72 · see citing works
“For simplicity, we assume correlated Rayleigh fading, where the spatial correlation between di ff erent positions of each element is characterized in [49, Lemma 2].”
Akram, N., Madanayake, A., Venkatakrishnan, S. B., Volakis, J. L., Psychogiou, D., Marzetta, T. L., & Rappaport, T. S. (2021) · 2021 IEEE Space Hardware and Radio Conference (SHaRC) · doi:10.1109/sharc51853.2021.9375888 · Cited by 8 · see citing works
Self-citationEmerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2024) · arXiv · Cited by 72 · see citing works
“For simplicity, we assume correlated Rayleigh fading, where the spatial correlation between di ff erent positions of each element is characterized in [49, Lemma 2].”
- Authors
- Pizzo, A., Marzetta, T. L., & Sanguinetti, L.
- Affiliations
- New York University (US)
- University of Pisa (IT)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2020-09
- Volume
- 38
- Issue
- 9
- Pages
- 1964-1979
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W2999978220
- Cited by
- 263
- References
- 2
- Citations by year
- 2026: 27 · 2025: 65 · 2024: 61 · 2023: 43 · 2022: 34 · 2021: 23 · 2020: 10
- FWCI
- 9.45
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Techniques
- Keywords
- holographic MIMO, massive MIMO, small-scale fading, Helmholtz equation, channel modeling, far-field propagation, compact antenna arrays
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review