Cooperative Relay Communication Performance under Spectrum-Sharing Resource Requirements
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Bibliographic record
Abstract
We propose using cooperative relaying technique in spectrum-sharing systems to more effectively and efficiently use the available transmission resources, such as power, rate and bandwidth, while adhering to the spectrum-sharing resource requirements of the licensed (primary) user. Specifically, we consider that the secondary user of the spectrum is assisted by a decode-and-forward (DF) relay to help in the communication between its source and destination nodes. In this context, we obtain the end-to-end performance of the proposed spectrum-sharing cooperative relaying system in terms of the average symbol error rate (SER) of the secondary's communication under appropriate constraints on the interference power at the primary receiver. We further analyze our theoretical results through simulations and comparisons illustrating the SER performance of the proposed spectrum-sharing cooperative system for different operating scenarios.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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