Transmission strategies for high-speed access over Category-7A copper wiring
Bibliographic record
Abstract
This paper focuses on conceptual designs and demonstration of beyond 10G transmission systems for distribution of digital signals over standard Category-7A copper cable, which is an enhanced version of Category 7 cable. Although the actual implementation might not be feasible at the time of writing of this paper due to technology limitations and high production costs, we have been trying to address the technical feasibility, limitations and design of a system in a framework leading to a practical implementation in a not too distant future with the ever increasing speed of technology advances. We have demonstrated that a data rate up to 40Gbps over 100m of CAT-7A is feasible with reasonable complexity. Developing 100Gb/s over 100m balanced cabling is going to be very challenging. To optimize costs, while ensuring robust and reliable performance over 100 meters and through four connections, Category 8 cabling is the most likely choice to support the emerging IEEE 100GBASE-T application. The results of our investigations indicate that 100Gbps transmission is possible over 50m of such a cable.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".