WLC41-3: On the Performance of Cooperative Wireless Fixed Relays in Asymmetric Channels
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Bibliographic record
Abstract
In many scenarios the commonly assumed symmetry in multiple relay channels is unrealistic. Therefore, this paper, through analytical and simulation efforts, investigates asymmetric relay deployment where the links of cooperating nodes to destination experience unequal signal strength. An analysis of the cooperative error rate at the destination node in such networks is presented. Using the derived expressions for the cooperative error, in conjunction with the approaches used in earlier works, the end-to-end (E2E) performance of a two- hop network can be obtained. Moreover, the derived expression represents, in certain scenarios, a tight bound for the E2E error rate of the two-hop network such as when relay adopts threshold decode-and-forward strategy and/or multi-antenna processing to improve the reliability of its detection.
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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 | 0.002 |
| 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