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Non-Linear Programmable Metasurface for Smart-Wireless Environments

2025· article· W4417131546 on OpenAlexaff
Kypros M. Kossifos, Marco A. Antoniades, George V. Eleftheriades

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsHarmonicsPMSFSidebandCompatible sideband transmissionBeam (structure)Phase (matter)Unit (ring theory)

Abstract

fetched live from OpenAlex

This paper presents a non-linear programmable metasurface (PMSF) for smart wireless environment applications. The proposed PMSF demonstrates simultaneous frequency conversion and beam steering capabilities. This is achieved through an innovative unit cell design which incorporates single sideband (SSB) mixers. The unit cell operates at 3.5 GHz (5G, sub-6GHz band) and 5.5 GHz (WiFi), as validated through fullwave and circuit simulations. The functionality of the PMSF is demonstrated with a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1 \times 7$</tex> unit cell simulation, where phase control is provided at the intermediate frequency (IF), enabling beam steering. The results show significant suppression of undesired harmonics and efficient frequency conversion. The presented non-linear PMSF design could find applications in telecommunications to enhance coverage, energy efficiency, and security.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.263
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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