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Record W4409985442 · doi:10.1109/iotm.001.2400123

Dual Function of Sensing and Backscatter Communication in Cellular Networks

2025· article· en· W4409985442 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Internet of Things Magazine · 2025
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDual functionDual (grammatical number)Backscatter (email)Function (biology)Remote sensingComputer scienceTelecommunicationsBiologyCell biologyGeologyArtComputer graphics (images)

Abstract

fetched live from OpenAlex

With rapidly advancing ambient-powered Inter-net of Things (IoT) and wireless networks, the synergy between sensing and backscatter communication (BackCom) has emerged as a research frontier. This study thus delves deep into integrating sensing functionalities with BackCom leading to the Integrated Sensing and Backscatter Communication (ISABC), a burgeoning field with significant implications for ambient IoT networks. By drawing parallels between radar sensing and BackCom fun-damental insights into ISABC and its functionalities are attained. Additionally, various possible ISABC system configurations, applications, and future research directions are delineated. Furthermore, a quantitative analysis of system performance and qualitative communication and sensing performance assessments are provided. The proposed ISABC framework demonstrates enhanced performance and adaptability across diverse applications, a pivotal attribute for future IoT applications.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.196
Teacher spread0.190 · 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