A hierarchical micro-mobility management model with QoS capability
Why this work is in the frame
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Bibliographic record
Abstract
The design of micro-mobility management protocols stands out as an important challenge in integrating wireless networks into the IP-based Internet, especially when such networks are deployed for real-time multimedia applications. We present a new hierarchical model for micro-mobility management with quality of service (QoS) capability for the wireless access network. The scheme includes an anchor selection and anchor optimization algorithm with QoS support, and efficient techniques for intra-anchor handoff, inter-anchor handoff, and paging management. In addition to QoS support, the proposed scheme has the advantages of robustness, scalability, load balancing and fast handoff. Simulation results of our model indicate that it provides good handoff performance in the presence of multiple QoS classes of applications.
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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 | 0.001 |
| 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