Testbed and experiments for mobile TV (DVB-H) networks
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
We present a complete, running, testbed for mobile TV networks that employ the Digital Video Broadcast - Handheld (DVB-H) open standard. DVB-H based networks have been deployed in several countries around the world and currently being pilot-tested in many others. Nevertheless, there exists no open-source testbed in the literature to enable researchers to analyze and optimize the performance of such networks; most testbeds are proprietary. Our testbed implements the complete stack of the DVB-H standard and it streams real videos to actual handheld devices. It integrates several off-the-shelf hardware components and devices with software components. Some of the software components are developed by us and others are leveraged (after bug fixes and modifications) from open-source projects. In addition, we present several experiments to: (i) evaluate and compare multiple energy-saving techniques recently proposed for mobile TV networks, and (ii) demonstrate a new method to reduce the channel switching delay.
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.
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