Mobile positioning based on relaying capability of mobile stations in hybrid wireless networks
Why this work is in the frame
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Bibliographic record
Abstract
A novel mobile position location procedure, based on the relaying capability of the mobile stations in a hybrid cellular/peer-to-peer ad hoc network to improve positioning coverage and accuracy, is proposed. The proposed mobile location scheme is a hierarchical-structured flooding procedure, making use of the relaying capability of mobile stations to achieve location diversity. Simulation results show that the proposed positioning scheme offers improvement in coverage and accuracy compared to conventional positioning methods reported in the literature. With the increase of the mobiles in the system, the coverage of the conventional system does not change. However, the coverage of the proposed discovery mechanism monotonically increases towards 100% by exploiting location diversity. The gain of the coverage is also promising when cell size is large, where the conventional methods suffer the hearability problem.
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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 | 0.000 | 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