Energy-Efficient Power Allocation for Cooperative NOMA Systems With IBFD-Enabled Two-Way Cognitive Transmission
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Bibliographic record
Abstract
To compensate for the transmission efficiency in a cooperative non-orthogonal multiple access (NOMA) system, we enable in-band full-duplex (IBFD) and two-way cognitive transmission at the mobile relay, which assists the NOMA user in weak channel condition while transmitting and receiving its own data by means of spectral sharing. To strike a balance between spectral efficiency and energy conservation, we consider the power allocation problem to maximize the energy efficiency of the hybrid system while maintaining the bit rate requirements of NOMA users. To overcome the non-convexity of the original problem, we apply the successive inner approximation technique and propose an efficient iterative scheme to obtain a Karush-Kuhn-Tucker point in polynomial time. The gain of IBFD-enabled two-way cognitive transmission and the efficiency of the proposed power allocation scheme are validated via simulation results.
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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 | 0.001 | 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 it