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Near-Field Communications: A Degree-of-Freedom Perspective

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arxiv 2308.00362 v2 pith:SLXGNH4Y submitted 2023-08-01 cs.IT eess.SPmath.IT

Near-Field Communications: A Degree-of-Freedom Perspective

classification cs.IT eess.SPmath.IT
keywords communicationsnear-fieldantennasapertureperspectivesystemsadditionallyadvancing
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Multiple-antenna technologies are advancing towards large-scale aperture sizes and extremely high frequencies, leading to the emergence of near-field communications (NFC) in future wireless systems. To this context, we investigate the degree of freedom (DoF) in near-field multiple-input multiple-output (MIMO) systems. We consider both spatially discrete (SPD) antennas and continuous aperture (CAP) antennas. Additionally, we explore three important DoF-related performance metrics and examine their relationships with the classic DoF. Numerical results demonstrate the benefits of NFC over far-field communications (FFC) in terms of providing increased spatial DoFs. We also identify promising research directions for NFC from a DoF perspective.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. On Spatial Degree-of-Freedom Analysis of Near-Field Multipath Channels for Ultra-massive MIMO Systems

    eess.SP 2026-05 unverdicted novelty 6.0

    Derives a generic DoF metric for NF UM-MIMO multipath channels as the effective union of per-path contributions (electrical aperture times subtended solid angle), with eigenvalue-to-power mapping, validated via simula...

  2. Near-Field Communications with Different Array Geometries: Rayleigh Distance, Channel Estimation, and Transmission Design

    eess.SP 2026-05 unverdicted novelty 5.0

    A near-field spatial non-stationary channel model for planar and modular curved XL-MIMO arrays is derived, an AE-aided AMP estimator with replica bound is proposed, and joint array-geometry and hybrid-precoding optimi...

  3. Near-Field Communications with Different Array Geometries: Rayleigh Distance, Channel Estimation, and Transmission Design

    eess.SP 2026-05 conditional novelty 5.0

    Fixing arc length, curving a large array shrinks its near-field region in front but grows it to the sides, and a learned AMP estimator recovers non-stationary near-field channels for arbitrary geometries.