Performance of cooperative relaying with adaptive modulation and selection combining
Why this work is in the frame
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Bibliographic record
Abstract
Taking advantage of the broadcast nature of wireless medium, a relay node can forward an overheard signal from the source to enhance the receiving quality. Many previous studies on cooperative relaying focus on maximal ratio combining (MRC) to exploit the spatial diversity. However, it is complex to enable different modulation levels with MRC so as to better address varying channel conditions. There has been some existing work on the performance of cooperative relaying with selection combining (SC). In this paper, we further consider adaptive modulation and coding (AMC) in a cooperative relaying scenario with selection combining. Based on the bit error rate (BER) analysis, the minimum signal-to-noise ratio (SNR) thresholds are determined to activate different modulation modes at the relay node, such that the overall BER at the destination is no greater than a target BER constraint. Simulations are conducted to verify the accuracy of the BER analysis. The numerical results demonstrate the performance gain of cooperative relaying with adaptive modulation and selection combining.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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