An Integrated Illumination LED Driver and Optical Wireless Communications Repeater
Bibliographic record
Abstract
Visible light communications (VLC) leverages optical bands to meet the escalating demands for wireless communication. This paper presents a new approach to address the challenges encountered in establishing an optical uplink and downlink relay for VLC systems. A multi-phase boost converter topology is developed to realize a repeater capable of receiving and amplifying infrared uplink signals and re-transmitting them across both infrared and visible spectra. Conventional commutating diodes within each phase of the converter are replaced with photodiodes, enabling the detection of infrared (IR) signals. The resultant photocurrent modulates the intensity of multiple emitters at output, enabling spatial summation and amplification of the re-transmitted signal. While the primary application is to establish an optical IR uplink to visible light broadcast system, the topology can also support alternative applications, such as optical backhauling/fronthauling by integrating IR emitters into the luminaire. Simulation and experimental results indicate that the integration of the repeater into a luminaire through this approach does not adversely impact the efficacy of the luminaire and for the tested configurations the repeater is capable of an end-to-end optical gain of 7 for IR signals with amplitudes of$1-10~\mathrm {mW}$.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".