Hybrid ARQ with partial retransmission using turbo product codes
Bibliographic record
Abstract
This paper presents a hybrid automatic repeat request (HARQ) scheme based on turbo product codes (TPC) error correction and self-detection. The TPC inherent error detection is used as an alternative to the conventional cyclic redundancy check (CRC) process and is utilized to implement partial retransmission. The proposed HARQ system attempts to identify the location of errors within the TPC codeword. Consequently, only parts of the codeword which are declared erroneous are retransmitted. The performance of the proposed TPC-based HARQ is evaluated with hard and soft decision decoding in additive white Gaussian noise (AWGN) channels. Packet combining and adaptive channel coding are also considered. The obtained results show that the proposed HARQ scheme provides higher or equivalent throughput when compared to CRC-based HARQ in most test scenarios.
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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".