Low-Density Parity-Check Codes for Two-Way Relay Channels
Bibliographic record
Abstract
In this paper, we propose Low-density Parity-check (LDPC) codes for two-way relay channels, where two sources communicate with each other through a relay. At the relay, a simpler interference cancellation joint decoder decodes for the multiple access phase of two-way relay channels. Then, the relay codeword is encoded from two decoded source codewords with LDPC codes. At source, a sub-optimal belief propagation decoder decodes message from codewords received from the relay, the other source and its own source. Simulation results are given to show that our proposed simpler interference cancellation joint decoder at the relay is only 0.2 dB away from the existing sub-optimal belief propagation joint decoder. The required Eb/No at the source is 1.5 dB less than that of the single user channel with the same bit error rate (BER).
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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 | 0.001 | 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 | 0.001 | 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".