Broadband multi-beam lens-assisted mmID enabling multi-gigabit backscatter data rates for next-generation wireless networks.

Marvin Joshi, Charles A Lynch Iii, Kexin Hu, Yaw A Mensah, John D Cressler, Manos M Tentzeris

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Marvin JoshiSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA. mjoshi5@gatech.edu.ORCID http://orcid.org/0000-0001-5175-6930

Charles A Lynch IiiSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Kexin HuSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Yaw A MensahSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

John D CresslerSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Manos M TentzerisSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Funding

National Science Foundation (NSF) 2322366

6 · The paper itself

Abstract

The growth of next-generation Internet-of-Things (IoT) and digital-twin systems has created wireless environments where identification must sustain fiber-level data rates with low latency while operating at minimal energy cost and maintaining robust angular coverage. Conventional backscatter at microwave frequencies remains limited to megabit rates, and most millimeter-wave demonstrations operate with limited coverage. This work presents a lens-assisted millimeter-wave identification (mmID) system that unites multi-gigabit connectivity with wide solid-angle coverage. The design integrates a cross-polarized broadband antenna array with a dielectric lens, enabling multi-beam operation with angle-dependent modulation across ± 55° and a peak differential radar cross section of -13.4 dBsm. Demonstrated backscatter performance includes 4 Gbps 32-QAM at 5 m with an energy cost of 0.08 pJ bit

Identifiers

PMID41807389

DOI10.1038/s41467-026-70454-8

PMCPMC13106750

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LicenceCC BY

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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.