Chapter Summary
Chapter 17 Summary: Near-Field Communications
Key Points
- 1.
Far field is a statement about , not absolute distance. The Fraunhofer distance scales quadratically in aperture and linearly in carrier frequency. For 6G XL-MIMO at sub-THz, is on the order of hundreds of metres — every user in the cell is in the near field. Plane-wave steering vectors are systematically wrong in this regime.
- 2.
The near-field array response is position-parameterised, not direction-parameterised. The exact steering vector has entries ; its Fresnel expansion contains the classical linear-phase term plus a quadratic phase that encodes range. Dropping the quadratic term is exactly the plane-wave approximation, valid only for .
- 3.
Beam focusing replaces beam steering. The matched-filter near-field beamformer delivers the full -fold coherent gain to a spot at position , not to a ray. The half-power depth of focus is , which shrinks at short ranges and opens up to infinity as . Two co-directional users can be spatially multiplexed once their range separation exceeds .
- 4.
XL-MIMO channels are spatially non-stationary. The visibility region is the subset of antennas that actually see user ; the visibility ratio is typically well below . Non-stationarity-blind combiners lose dB of array gain. Systems cope with sub-array processing — effectively, cell-free massive MIMO inside a single physical aperture.
- 5.
Near-field degrees of freedom can exceed . For planar apertures of size at range , the Pizzo– Marzetta–Sanguinetti formula gives , a fourth-power law in the number of Fresnel zones that fit on the aperture. This is the quantitative basis of "holographic MIMO" and the reason sub-THz LoS links can spatially multiplex tens to thousands of streams.
- 6.
Polar-domain codebooks replace angular codebooks. The near-field channel is sparse in a chirp-Fourier basis, not in a DFT basis. Near- field codebooks grid angle uniformly and grid with step . The codebook size grows as , which is the price paid for the extra range dimension.
Looking Ahead
Chapter 18 builds on this physics: the spherical-wavefront model of Section 17.2 becomes the chirp dictionary of an XL-MIMO channel estimator, and the visibility regions of Section 17.4 become a 2-D Markov random-field prior. The result is Xu and Caire's visibility-aware XL-MIMO channel estimation framework, which is the companion algorithmic story to the physics developed here. Chapter 19 then turns to the hardware side — low-resolution and mixed-ADC architectures — and Chapter 20 to hybrid beamforming, which is how XL-MIMO actually gets built with a feasible number of RF chains.