Evidence map›Paper›PMID 42259876›Full record

ArticleScientific reports2026

Novel 1-bit hybrid reconfigurable intelligent surface.

Sajedeh Keshmiri, Suren Jayasuriya, Mohammadreza F Imani

Abstract read
In one paragraph

Article in Scientific reports, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sajedeh KeshmiriSchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, 85287, USA. s.keshmiri@asu.edu.
Suren JayasuriyaSchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, 85287, USA.
Mohammadreza F ImaniSchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, 85287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconfigurable intelligent surfaces (RISs) are anticipated to play a key role in future smart wireless networks by enabling control over the propagation environment and improving communication performance. However, most existing RIS designs rely on external channel information acquisition, thereby restricting their autonomy. By embedding sensing directly into the RIS, the resulting hybrid RIS (HRIS) can pave the way for a self-configuring wireless network. However, previous HRISs used complex geometries, resulting in low sensing signal strength or costly implementation. This paper proposes a novel 1-bit HRIS designed to sense the incident signal's angle of arrival (AoA) and redirect it toward desired directions. This device consists of independently tunable resonant patch elements loaded with PIN diodes. To introduce sensing capabilities, a portion of the incident signal on each element is coupled into a parallel-plate waveguide (PPWG) via small rectangular slots. This PPWG is below the reconfigurable patch array of the HRIS and collects the coupled signal from all elements. Two coaxial connectors are then used to sample the signal coupled to the PPWG. We use computational processing and a multilayer perceptron (MLP) to analyze signals collected in this manner to detect AoA. Further, pre-coded phase randomization is implemented by varying slot sizes to suppress undesired quantization lobes. The proposed HRIS is simple and low-cost, and it can pave the way for intelligent wireless communication, power transfer, and sensing without requiring feedback loops.

Identifiers

PMID42259876
PMCPMC13486784

What OpenQuestion holds

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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.