Performance evaluation platform for xDSL deployment in a complex multi-segment environment
Bibliographic record
Abstract
This paper presents a highly flexible simulation platform catering to the easy and rapid evaluation of existing and future digital subscriber line (DSL) deployments as well as DSL modem performance prediction using practical modem implementations in a complex multi-segment environment. The paper outlines the methodology employed to architect and develop the core software, followed by a description of the performance prediction hooks for a variety of current and future DSL modem technologies. The graphical user interface (GUI) abstracting the core software for the user is described in terms of the various configuration options and the quick and easy graphical design of typical and complex deployment scenarios. The proposed simulator's calculations, notably theoretical SNR margin, maximum theoretical capacity and reach, plus performance evaluation using user-designed modem models, are also outlined. To support the accuracy of the new simulator, results for some example scenarios are presented and compared against other available simulators.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".