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Record W1979200648 · doi:10.1109/qbsc.2014.6841173

Practical OFDM signalling for visible light communications using spatial summation

2014· article· en· W1979200648 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingVisible light communicationComputer scienceElectronic engineeringNarrowbandWidebandBandwidth (computing)AmplifierTelecommunicationsLight-emitting diodeElectrical engineeringEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

Visible light communication (VLC) channels leverage solid-state illumination devices to provide a dual role as high-speed communication links. These channels are bandwidth-limited and can have high SNRs. Bandwidth-efficient intensity-modulated/direct-detection (IM/DD) orthogonal frequency-division multiplexing (OFDM) has been considered for VLC systems. Key drawbacks of OFDM in IM/DD channels are its high peak-to-average power ratio (PAPR) as well as the difficulty of implementing power efficient, high current, wideband drivers. In this paper, we propose a new form of IM/DD OFDM termed spatial optical OFDM (SO-OFDM) in which multiple narrowband OFDM signals are transmitted simultaneously from different LEDs and allowed to sum in space. In this way, a conventional OFDM receiver can be employed while having a series of lower power transmitters, each with improved PAPR. Simulation results show that in comparison with conventional IM/DD OFDM, SO-OFDM is more robust to amplifier nonlinearities and can be implemented with more efficient line driver topologies.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.426

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 head0.063
GPT teacher head0.321
Teacher spread0.258 · 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