Spectral Efficiency and User Diversity Gains Through Cooperative Fixed Relays
Why this work is in the frame
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Bibliographic record
Abstract
Cooperative diversity through mobile terminals is faced with a number of deployment challenges such as security (as terminals have to detect partner's signals), incentive and coercion packages (as users have to be motivated to use their terminals to assist others), and huge capital investment (as terminals have to be modified to make them ready for cooperation). This paper discusses fixed relay-enabled user cooperation that are being considered in the WINNER project for deploying beyond 3G wireless communication networks. The schemes operate by engaging two users in cooperation without their knowledge. The schemes which can be viewed as an add-on to network facility have significant impact on the costs, security and end-to-end (E2E) performance of two-hop wireless networks. In addition, the proposed schemes can be used in a number of networks since current terminals do not require any modifications.
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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 | 0.000 |
| 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