Rate-Splitting and NOMA-Enabled Uplink User Cooperation
Bibliographic record
Abstract
In this paper, we propose two novel transmission and detection schemes based on rate-splitting (RS) and non-orthogonal-multiple-access (NOMA) for uplink user cooperation. At the first mini-slot of these cooperative schemes, each user transmits its signal and receives the transmitted signal of the other user, and at the second mini-slot, each user relays the other user's message with amplify-and-forward (AF) protocol. To achieve better spectral efficiency, users transmit their signals in non-orthogonal mode in both mini-slots. We propose two detection schemes for these proposed cooperative (C)-NOMA and cooperative-rate-splitting-multiple-access (C-RSMA) schemes in which we apply a combination of maximum-ratio-combining (MRC) and successive-interference-cancellation (SIC). Finally, we derive the achievable rates corresponding to the C-NOMA and C-RSMA schemes. Simulation results prove the superiority of the proposed C-NOMA and C-RSMA schemes rather than cooperative-orthogonal-multiple-access (C-OMA) and non-cooperative schemes.
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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".