Monolithically-integrable and scalable 2.4 GHz MIMO backscatter system based on large-area electronics

Future embodied artificial intelligence (EAI) and Internet of Things (IoT) systems envision trillions of wireless sensing nodes embedded in the environment. Passive backscattering enables low-cost, energy-efficient communication, but adequate range in dense deployments requires high-spatial-resolution beamforming. We push large-area electronics (LAE) into the gigahertz regime to build multiple-input multiple-output (MIMO) backscattering systems with directive beamforming, exploiting LAE’s scalable, monolithic integration over flexible, meter-scale substrates. While conventional LAE is restricted below 100 MHz, we reach 2.4 GHz using our proposed thin-film transistor (TFT) resonant switch, incorporated into a novel switch matrix architecture. We experimentally demonstrate two 2.4 GHz backscattering systems using self-aligned zinc-oxide (ZnO) TFTs: (1) a 4-input 4-output MIMO reflector with independent input and output beamsteering; (2) a backscatter transmitter combining input beamforming with quadrature phase-shift keying (QPSK) modulation. These results establish LAE as a viable platform for high-performance, cost-effective wireless surfaces, enabling massive deployment of intelligent IoT nodes.

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Publication Details

Journal
npj Wireless Technology
Published
2026-11-02
DOI
https://doi.org/10.1038/s44459-026-00099-y
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
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article

Monolithically-integrable and scalable 2.4 GHz MIMO backscatter system based on large-area electronics

Xiaoyang Ma, S. Wagner, James C. Sturm, Naveen Verma
1 links
npj Wireless Technology
Energy Harvesting in Wireless Networks
article

Monolithically-integrable and scalable 2.4 GHz MIMO backscatter system based on large-area electronics

Xiaoyang Ma, S. Wagner, James C. Sturm, Naveen Verma
article en

Abstract

Future embodied artificial intelligence (EAI) and Internet of Things (IoT) systems envision trillions of wireless sensing nodes embedded in the environment. Passive backscattering enables low-cost, energy-efficient communication, but adequate range in dense deployments requires high-spatial-resolution beamforming. We push large-area electronics (LAE) into the gigahertz regime to build multiple-input multiple-output (MIMO) backscattering systems with directive beamforming, exploiting LAE’s scalable, monolithic integration over flexible, meter-scale substrates. While conventional LAE is restricted below 100 MHz, we reach 2.4 GHz using our proposed thin-film transistor (TFT) resonant switch, incorporated into a novel switch matrix architecture. We experimentally demonstrate two 2.4 GHz backscattering systems using self-aligned zinc-oxide (ZnO) TFTs: (1) a 4-input 4-output MIMO reflector with independent input and output beamsteering; (2) a backscatter transmitter combining input beamforming with quadrature phase-shift keying (QPSK) modulation. These results establish LAE as a viable platform for high-performance, cost-effective wireless surfaces, enabling massive deployment of intelligent IoT nodes.

npj Wireless TechnologyVol. 2(1)
Princeton University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Energy Harvesting in Wireless Networks
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