Guaranteed Bandwidth Allocation and QoS support for Mobile Telemedicine Traffic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cellular networks have been used in recent years as a testbed for the evaluation of the quality of low-bandwidth telemedicine traffic transmission. The correct and rapid transmission of telemedicine traffic is of utmost importance, therefore telemedicine video, audio and data cannot be treated similarly to regular traffic, but rather need to be offered absolute priority for transmitting over the wireless channel. On the other hand, if a portion of the bandwidth is dedicated to telemedicine traffic, this bandwidth will often be left unused as there is no constant need for transmission of telemedicine traffic in the network. Hence, in this paper we focus on the integration of telemedicine traffic with other traffic types in a cellular network and we introduce new scheduling ideas for the efficient transmission of telemedicine traffic.
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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 it