Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

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

Chongjun Ouyang , Yuanwei Liu , Xingqi Zhang , Lajos Hanzo This is my paper · ORCID
classification cs.ITeess.SPmath.IT
keywords communicationsnear-fieldantennasapertureperspectivesystemsadditionallyadvancing
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

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

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

    eess.SP 2026-05 unverdicted novelty 5.0 of 10

    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.

Pith tools