Network coding and MPTCP in satellite networks
Bibliographic record
Abstract
Satellite networks are expected to support multimedia traffic flows, offering high capacity with QoS guarantees. This paper deals with Multipath-TCP (MPTCP), which exploits multiple TCP connections using different paths in order to improve user's throughput. In this study, MPTCP is combined with network coding to protect TCP transmissions from packet losses caused by ON/OFF channels in mobile satellite systems. A novel scheme, named Path-Based Network Coding for MPTCP (PBNC-MPTCP), has been proposed that applies Pseudo Random Network Coding (PRNC) to sub-flows, where the encoded packets of a block are sent on different paths in order to exploit path diversity. We have evaluated the PBNCMPTCP performance by means of Ns-2 simulations, showing that PBNC-MPTCP outperforms other schemes in the literature that combine MPTCP with network coding.
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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".