Application of Raptor Coding With Power Adaptation to DVB Multiple Access Channels
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Bibliographic record
Abstract
In this paper we propose a scheme to increase the channel capacity of Digital Video Broadcasting (DVB) systems which is also extendable to Return Channel via Satellite (DVB-RCS) scenarios. This increase is made possible by introduction of a new interfering channel to an exiting DVB channel. The interfering channel uses Raptor code. Through successive decoding in the destination, the data of main and interfering sources is decoded. We examine the case of sources with equal transmit power levels, however, as in all Multiple Access Channel (MAC) detection methods, there should be a power difference between the two sources to achieve higher rates. We demonstrate that when the power difference exists, there is a tradeoff between achieved rate and power efficiency and we will find the optimum power allocation scenario for this tradeoff. A power adaptation scheme is proposed that allocates the optimal power to the interfering channel based on an estimate of the main channel's condition. This estimate is obtained from the amount of overhead required by the destination for the successful decoding of the message. Therefore, the interfering source is able to adapt itself to the system without having any access to Channel State Information (CSI) of the main channel.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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