Evidence map›Paper›PMID 42020393›Full record

ArticleNature communications2026

Distributed wavefront shaping in radiative near-field sub-terahertz wireless networks.

Atsutse Kludze, Duschia Bodet, Josep Miquel Jornet, Yasaman Ghasempour

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Atsutse KludzeDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0001-6206-1165
Duschia BodetDepartment of Electrical and Computer Engineering, Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA.
Josep Miquel JornetDepartment of Electrical and Computer Engineering, Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA.
Yasaman GhasempourDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA. ghasempour@princeton.edu.ORCID http://orcid.org/0000-0002-4494-499X

Funding

National Science Foundation (NSF) 1955004National Science Foundation (NSF) 2145240National Science Foundation (NSF) 2148271National Science Foundation (NSF) 2504571United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-24-1-0144
6 · The paper itself

Abstract

In sub-Terahertz (sub-THz) wireless networks, the radiative near-field regime can no longer be ignored. Indeed, this less-explored electromagnetic regime can provide unprecedented opportunities to tackle the long-standing challenges of sub-THz wireless communication, including using focused beams to combat higher propagation losses and self-healing beams that offer enhanced resilience against line-of-sight blockage. Nevertheless, our mathematical modeling and experimental study find that such favorable near-field properties can be observed only within a smaller range of the nominal near-field Fresnel regime. To extend the functioning range where the use of near-field beams is advantageous, prior literature advocates the use of transmit arrays with larger form factors; however, such arrays may be impractical in real-world environments and are often difficult and costly to fabricate. In this study, we present the mathematical modeling and experimental demonstration of distributed near-field beam shaping using multiple coordinated transmitting apertures, hence, increasing the effective near-field regime. Our modeling is built on a detailed understanding of near-field electromagnetics, Fourier optics, and wave optics.

Identifiers

PMID42020393
PMCPMC13316115

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.