Introduction of mobility aspects for DVB-S2/RCS broadband systems
Bibliographic record
Abstract
In this paper we address the emerging application of mobility to DVB-S2/DVB-RCS systems, sometimes also referred to as Satellite-On-The Move (SOTM) communications. Satellite communications have great commercial success in digital audio and video broadcasting as they exploit the inherent wide area coverage for distribution content. It was a natural consequence to extend its use to multimedia applications; DVB-S2/DVB-RCS standards offer a commercially proven solution for fixed terminals in that sense. In addition, communication on the move is becoming a key market sector. Therefore broadband mobile communications represent an additional market for the satellite, addressing primarily transport operators (planes, ships, trains) but also end-users in cars. To ensure economies of scale and fast development and deployment of equipments, the adaptation of current satellite broadcast and interactive broadband standards is foreseen. This paper presents possible techniques applicable to different market segments for both the forward and the return links of the system, with associated performance and impact on the standards.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".