Full Duplex Cooperative Rate Splitting Multiple Access for a MISO Broadcast Channel With Two Users
Bibliographic record
Abstract
In this letter, we investigate the performance of a full-duplex (FD) cooperative rate splitting multiple access (C-RSMA) scheme in a downlink multiple-input single-output (MISO) system consisting of one base station (BS) that serves two users simultaneously. With the objective of maximizing the minimum achievable rate, we jointly optimize the BS precoding vectors, the common-stream split and the device-to-device transmit power subject to the power budget of both the BS and the relay device. As the entire problem is non-convex, we propose a low complexity algorithm based on the successive convex approximation (SCA) technique. Simulation results demonstrated that the FD C-RSMA can achieve a higher minimum achievable rate than some baseline schemes, including the FD cooperative non-orthogonal multiple access (FD C-NOMA), the half-duplex (HD) C-RSMA, RSMA and NOMA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".