Optimal amplify-and-forward scheme based on superposition modulation over relay channels
Bibliographic record
Abstract
This paper presents an optimal transmission scheme based on superposition modulation for a bandwidth efficient bit interleaved coded modulation (BICM) system over a nonorthogonal amplify-and-forward (NAF) half-duplex single-relay channel. Based on the asymptotic analysis, it is first demonstrated that in the first time slot, the source only needs to send the superposition of the first symbol and the rotated version of the second symbol, while being silent in the remaining slot to achieve the best asymptotic performance. It is then shown that a rotation angle that maximizes the minimum Euclidean distance of the superposition constellation should be used for good convergence behavior. An optimal rotation angle is then analytically determined for various modulation schemes. Both analytical and simulation results show that the proposed transmission scheme not only exploits full cooperative diversity but also offers a significant coding gain over previously proposed systems for NAF channels with good convergence property.
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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".