A Dynamic Spot Diffusing Architecture for Indoor Wireless Optical Communications
Bibliographic record
Abstract
In this work we introduce a novel high-speed architecture for indoor wireless optical communications termed the dynamic spot diffusing (DSD) architecture. In this configuration the transmitter modulates data onto a spot on the ceiling which moves in a closed path. An imaging receiver acquires data whenever the transmitter spot is in its field-of-view (FOV). We show that this technique is more flexible, has greater multipath immunity, permits higher data rates and has a simpler transmitter than previously defined multi-spot and diffuse architectures. We compare the available channel capacities for a family of spot paths and receiver FOV. Instead of synchronizing to the spot location, rateless erasure correcting codes are applied to approach the capacity of the simulated DSD links. In a 6×6×3 m room, simulated data rates vary between 12.1 Mbps to 40 Mbps at different positions using a single 100 Mbps transmitter and the designed erasure correction code.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".