Experimental Demonstration of 5 Gbps Data Transmission Using Long Subwavelength Fiber at 140 GHz
Bibliographic record
Abstract
We present the experimental demonstration of real-time data transmission using a long subwavelength dielectric fiber in the Terahertz (THz) frequency range. A commercial 3D printing filament made of polypropylene material with the diameter of 1.75 mm is used as the solid core fiber for signal transmission. A photonics-based THz communication system operating at the carrier frequency of 140 GHz is used to characterize the fiber. The fiber is butt coupled in both emitter and detector antenna to minimize the free space coupling loss. The performance of the fiber is measured by recording the bit error rate (BER) for the transmitted data rate of 5 Gbps with a pattern length of 231-1. By fixing the decision threshold to 0 mV, the BER of 10-7is recorded for the fiber length of 3 m and 5 m respectively at the emitter photocurrent value of 8 mA. A successful error free data transmission using a 1 m fiber with the diameter of 670 μm is demonstrated. In addition, the effect of bending in a graded index porous fiber made of low density polyethylene is also studied.
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 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".