Secrecy-based channel assignment for device-to-device communication: An auction approach
Why this work is in the frame
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Bibliographic record
Abstract
Device-to-device (D2D) communication has revealed great potential to satisfy the soaring wireless data demands. As a key point, interference management should be carefully investigated. Different from the view that D2D transmissions cause harmful interference to cellular communication when reusing the same channels, we deem such interference as a kind of spontaneous interference against eavesdropping and use this interference to guarantee the secrecy capacity of cellular communication. Hence D2D pairs could have their own D2D transmission without violating secrecy-based cellular communication. Also, we utilize secrecy outage probability to overcome the difficulty in accurately obtaining channel gains at the eavesdropper. On the other hand, we take the advantage of auction algorithm to derive the channel assignment policy, such that multiple D2D pairs are assigned different channels with low complexity. Simulation results demonstrate that our algorithm works well and converges quickly.
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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