Throughput enhancement in cooperative diversity wireless networks using adaptive modulation
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Bibliographic record
Abstract
This paper analyzes the throughput performance of cooperative diversity wireless networks using adaptive modulation over Rayleigh fading channels. Cooperative diversity is achieved by utilizing neighbouring terminals as relays. These relays can generate copies of the same signal, which can provide spatial diversity gain and signal-to-noise ratio (SNR). The main drawback of cooperative diversity is the throughput loss due to the extra resources needed for relaying. Therefore, throughput is greatly reduced. In this paper, the adaptive modulation is used to convert the obtained SNR gain to throughput gain to compensate for the throughput loss. Results show that the use of adaptive modulation in cooperative diversity networks not only compensates for the throughput loss but also achieves considerable throughput gain compared with the classical system with direct transmission only.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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