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Record W4412985054 · doi:10.1109/jlt.2025.3596057

A Novel CMOS SPAD Receiver for Optical Wireless Communication

2025· article· en· W4412985054 on OpenAlexafffund
Junzhi Liu, Wei Jiang, Yeganeh Nasrollahzadeh, Shiva Kumar, M. Jamal Deen

Bibliographic record

VenueJournal of Lightwave Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsCMOSWirelessOptical communicationElectronic engineeringOptical wirelessComputer scienceElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Single-photon avalanche Diodes (SPADs) are widely considered to have promising prospects in the field of optical wireless communication (OWC). In this paper, a novel SPAD-based optical sensor was designed, fabricated, and tested for the application of an OWC receiver. In the application of SPAD-based OWC, intersymbol interference (ISI) effects can be a challenge to improve the performance of SPAD receivers. Therefore, this SPAD sensor was integrated with two unique timing control modes: the clock-driven (CD) mode and the time-gated (TG) mode to reduce the ISI effect in different communication conditions. The bit error rate (BER) testing results showed that our 4 × 4 SPAD receivers exhibited high sensitivity, achieving a BER of 3.8 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> at a signal power of -71 dBm and a background optical power of -84 dBm. Additionally, by comparing test results with simulation results, we can observe a high degree of congruence between experimental outcomes and simulated results.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.320

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 head0.010
GPT teacher head0.248
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2025
Admission routes2
Has abstractyes

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