Evidence map›Paper›PMID 41698910›Full record

ArticleNature communications2026

Joint communication and sensing with structured beams carrying orbital angular momentum.

Ruiyi Shen, 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. Electrically Tunable VONanomaterials (Basel, Switzerland) · 2026
    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

2 authors.

Ruiyi ShenDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0009-0003-2031-5915
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) 2145240National Science Foundation (NSF) 2148271United 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

Electromagnetic beams carrying orbital angular momentum (OAM) exhibit helical phase structures and doughnut-shaped intensity profiles, offering a promising basis for mode-division multiplexing and for fine-grained sensing in millimeter wave and sub-terahertz regimes. The simultaneous use of multiple OAM modes in joint communication and sensing systems has nevertheless remained unexplored due to conflicting requirements. While concurrent transmission of multiple orthogonal modes maximizes throughput in favor of communication, sensing relies on obtaining location-dependent scattering signatures by probing individual modes. In this work, we exploit the flexibility of OAM multiplexing to reconcile these requirements, based on the core insight that communication capacity depends primarily on the number of active modes, rather than the specific mode indices. Hence, by reconfiguring subsets of OAM modes, we generate diverse composite field distributions, whose reflections from sensing targets encode rich spatial information, while maintaining orthogonality for data multiplexing. We derive the theoretical limits of joint sensing performance and validate our approach through extensive over-the-air experiments at 120 GHz, demonstrating accurate target localization alongside high-speed data transmission. Our modeling and design are built on a deep understanding of the physics of OAM-carrying beams and the fundamentals of multiple-input multiple-output wireless propagation channels.

Identifiers

PMID41698910
PMCPMC13021946

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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.