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Record W2912880946 · doi:10.1109/lpt.2019.2899394

Low-Complexity Spatial Modulation for IM/DD Optical Wireless Communications

2019· article· en· W2912880946 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 Photonics Technology Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNational Natural Science Foundation of China
KeywordsOptical wirelessLight-emitting diodeModulation (music)Transmission (telecommunications)TransmitterVisible light communicationPulse-amplitude modulationIntensity modulationOptical wireless communicationsOptical modulation amplitudePhotodiodeQuadrature amplitude modulationKeyingComputer scienceWirelessElectronic engineeringOn-off keyingOptical communicationOpticsBit error ratePhysicsTelecommunicationsPhase modulationPulse (music)EngineeringDetectorOptical amplifierLaserDecoding methodsChannel (broadcasting)

Abstract

fetched live from OpenAlex

A bipolar pulse amplitude modulation (PAM)-based optical spatial modulation transmission scheme is developed for intensity modulation/direct detection optical wireless communications. In the proposed scheme, multiple light emitting diodes (LEDs) and multiple photodiodes are employed at the transmitter and receiver, respectively. The transmit LEDs are divided into two groups. The first group of LEDs transmits the positive part of the PAM symbol, while the second group of LEDs transmits the absolute value of the negative part of the bipolar PAM symbol. Besides, spatial shift keying is employed in the active LED group to improve data rate. According to the transmit strategy, a novel low-complexity receiver algorithm is developed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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