Contract Design for Time Resource Assignment and Pricing in Backscatter-Assisted RF-Powered Networks
Why this work is in the frame
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Bibliographic record
Abstract
Backscatter communication has been acknowledged as an essential supplement to improve the performance of radio-frequency-powered networks. Considering the fact that the backscatter communication needs the cooperation from the secondary gateway, pricing is an effective method to incentivize the secondary gateway to take part in the backscatter communication. In this letter, we consider a practical scenario, where the secondary gateway only knows the statistical information about the harvested power of the secondary transmitter, and develop a time resource assignment and pricing scheme for the network based on contract theory. Specifically, the secondary gateway designs a contract, including a series of time-price items, to maximize its profit. Then, the secondary transmitter accepts the contract item which can maximize its utility. We derive the optimal contract, which guarantees the incentive compatibility and the individual rationality properties. Numerical results are presented to verify the effectiveness of our designed contract.
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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 | 0.000 | 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