Application of reed-solomon codes with erasure decoding to type-II hybrid ARQ transmission
Bibliographic record
Abstract
Hybrid ARQ protocols are capable of improving the robustness and throughput of a mobile wireless communication system when a feedback channel is available. In this paper a type-II hybrid ARQ protocol is implemented with a punctured Reed-Solomon (RS) code to result in a rate-compatible system. It is proposed to use side-information provided by pilot symbols to flag symbol erasures, and perform erasure decoding of rate-compatible RS codes. Throughput simulation results show that when using errors-only decoding, rate-compatible punctured RS codes outperform their constituent punctured RS codes. When comparing errors-only decoding to erasure decoding of the rate-compatible RS codes, a power savings is observed when erasure decoding is employed. The specific gain achieved however, is dependant on the average signal-to-noise ratio and constituent set of punctured RS codes.
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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 | 0.001 |
| 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".