References & Further Reading
References
- C. A. Balanis, Antenna Theory: Analysis and Design, Wiley, 4th ed., 2016
The standard graduate-level antenna textbook. Chapters 2 and 12 contain the canonical treatment of the reactive near field, radiating near field (Fresnel region), and far field (Fraunhofer region), including the $d_F = 2 D^2/\lambda$ definition used throughout this chapter.
- K. T. Selvan, R. Janaswamy, Fraunhofer and Fresnel Distances: Unified Derivation for Aperture Antennas, 2017
Short pedagogical article that derives the Fraunhofer and Fresnel region boundaries from a unified quadratic-phase analysis. Recommended as the first reading on why $d_F = 2 D^2/\lambda$ and not something else.
- M. Cui, L. Dai, Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?, 2022
Introduces the polar-domain codebook and develops near-field sparse channel estimation. The main reference for Section 17.3's discussion of chirp bases and polar codebook construction.
- E. Björnson, Ö. T. Demir, L. Sanguinetti, A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces, 2021
The clearest tutorial on near-field array response vectors and beam focusing, including the depth-of-focus formula used in Theorem <a href="#thm-depth-of-focus" class="ferkans-ref" title="Theorem: Depth of Focus Along the Broadside Ray" data-ref-type="theorem"><span class="ferkans-ref-badge">T</span>Depth of Focus Along the Broadside Ray</a>. Written for wireless engineers familiar with massive MIMO, not antenna specialists.
- H. Zhang, N. Shlezinger, F. Guidi, D. Dardari, M. F. Imani, Y. C. Eldar, Beam Focusing for Near-Field Multiuser MIMO Communications, 2022
Extends near-field beam focusing to the multi-user setting with a ZF-style precoder, and analyses the multi-user spatial multiplexing gain that beam focusing enables. Contains the formal multi-user depth-of-focus analysis.
- A. Pizzo, T. L. Marzetta, L. Sanguinetti, Spatially-Stationary Model for Holographic MIMO Small-Scale Fading, 2020
The foundational paper on continuous-aperture (holographic) MIMO and the $(A_t A_r)/(\ntn{wl} d)^2$ DoF formula. Establishes that near-field holographic apertures can support DoF greatly exceeding the classical $\min(\ntn{ntx}, \ntn{nrx})$ bound. Used in Section 17.5.
- A. Pizzo, L. Sanguinetti, Spatial Characterisation of Electromagnetic Random Channels, 2022
Rigorous extension of the 2020 paper to non-stationary and anisotropic channels. Provides the machinery needed to turn holographic MIMO DoF analysis into a tool for realistic (non-LoS) XL-MIMO settings.
- D. Dardari, Communicating with Large Intelligent Surfaces: Fundamental Limits and Models, 2020
Parallel derivation of the near-field DoF of large intelligent surfaces using a continuous-current model. A useful cross-check for the discrete-array Pizzo et al. results, and the standard reference on RIS-aided near-field links.
- C. Huang, S. Hu, G. C. Alexandropoulos, A. Zappone, C. Yuen, R. Zhang, M. Di Renzo, M. Debbah, Holographic MIMO Surfaces for 6G Wireless Systems: Opportunities, Challenges, and Trends, 2020
High-level overview of holographic MIMO covering architectural options, RF hardware challenges, and 6G use cases. Useful for placing the physics of this chapter in a system-design context.
- A. De Curninge, M. Guillaud, D. Slock, Structured Channel Covariance Estimation from Limited Samples for Large Antenna Arrays, 2019
One of the first formal treatments of spatial non-stationarity in very large arrays. Introduces the notion of position-dependent covariance and motivates sub-array processing. Referenced in Section 17.4.
- E. G. Larsson, T. L. Marzetta, H. Q. Ngo, H. Yang, Antenna Count for Massive MIMO: 1.9 GHz versus 60 GHz, 2022
Argues that system-level antenna count scaling at sub-THz cannot be handled with conventional plane-wave + stationary-channel analysis. Provides the practical deployment-architecture context for Section 17.4's sub-array discussion.
- Y. Xu, G. Caire, Visibility-Region Aware Channel Estimation for Extremely Large Aperture MIMO, 2023. [Link]
CommIT contribution. Treats visibility regions as a 2-D Markov random field and uses sparse Bayesian inference to jointly estimate visibility and channel coefficients under the spherical-wave model. Cited in Section 17.2 (commit_contribution) and Section 17.4. The algorithmic companion to the physics developed here; the full treatment is in Chapter 18.
- 3GPP, Study on Channel Model for Frequencies from 0.5 to 100 GHz (TR 38.901 v18.0.0), 2023
The current standard channel model for 5G and the baseline for 6G study items. Based on plane-wave propagation and spatial stationarity; Section 7.6.3 flags spatial consistency concerns that are being re-examined in Rel-19 XL-MIMO work.
- M. Born, E. Wolf, Principles of Optics, Cambridge University Press, 7th ed., 1999
The classical optics reference. Chapter 8 derives Fresnel diffraction and depth of focus for lens-based imaging; the RF near-field depth-of-focus formula is the same result transported to the antenna array setting. Recommended for the historical perspective of Section 17.3.
Further Reading
Curated sources for readers who want to go deeper into specific aspects of near-field communications.
Prolate spheroidal wave functions and the origin of the DoF formula
D. Slepian, H. O. Pollak, and H. J. Landau, 'Prolate spheroidal wave functions, Fourier analysis and uncertainty — I, II, III,' Bell System Technical Journal, 1961–1962
The mathematical machinery behind the near-field DoF formula. Pizzo et al. transport these classical results into the near-field MIMO setting; understanding them clarifies where the 'one DoF per Fresnel zone' intuition comes from.
Near-field localisation and CRB analysis
B. Friedlander, 'Localization of signals in the near-field of an antenna array,' IEEE Trans. Signal Processing, vol. 67, no. 15, pp. 3885–3893, Aug. 2019
Classical near-field direction-of-arrival and range estimation from a DoA/signal-processing perspective. The CRB derivations here are directly applicable to Exercise 15.
Near-field beam training and codebook design
Y. Lu and L. Dai, 'Near-field channel estimation in mixed LoS/NLoS environments for extremely large-scale MIMO,' IEEE Trans. Commun., vol. 71, no. 6, pp. 3694–3707, Jun. 2023
Concrete algorithms for near-field beam training and channel estimation that extend the polar-domain codebook of Cui & Dai 2022. Good companion to Chapter 18.
Fundamental limits of continuous-aperture MIMO
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, 2005
An early paper on the spatial DoF of MIMO channels in a physical (wave-theoretic) framework. Provides the intellectual prehistory of Pizzo et al. 2020 and explains why earlier authors missed the holographic result.
Practical testbed results for near-field XL-MIMO
Fraunhofer HHI and Huawei 6G XL-MIMO prototypes (see various 2022–2024 white papers); published results in Proc. IEEE GlobeCom 2023, Session NFC-6G
Shows how much of the theory in this chapter has actually been validated over the air. The HHI 140 GHz testbed (in collaboration with TU Berlin) is of direct interest to Ferkans readers, and its results on near-field beam training error are a practical benchmark.
Fresnel-region array signal processing in radar
M. A. Richards, *Fundamentals of Radar Signal Processing*, 3rd ed., McGraw-Hill, 2022, Chapter 8
Radar engineers have worked in the Fresnel region for decades; their pulse-compression chirp-matched-filter machinery is a direct analogue of near-field beam focusing. Reading Richards gives an orthogonal intuition for why the near-field matched filter is a chirp.