Joint connection admission control and routing in IEEE 802.16-based mesh networks
Why this work is in the frame
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Bibliographic record
Abstract
Connection admission control and routing are two important mechanisms in the provision of quality of service (QoS) in IEEE 802.16-based wireless mesh networks. In this paper, we propose a joint admission control and routing scheme for multiple service classes with the objective to maximize the overall revenue from all carried connections. QoS constraints such as handoff dropping probability can be guaranteed. Multiple service classes can be prioritized by imposing different reward rates. We formulate the problem as a decision process, and apply optimization techniques to obtain the optimal admission control policies. The effectiveness of the proposed approach is illustrated by numerical and simulation results. We show that the proposed joint admission control and routing scheme can produce maximum revenue obtainable by the system under QoS constraints.We also show that the optimal joint admission control policy is a randomized policy, i.e., connections are admitted to the system with some probabilities when the system is in some states.
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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 | 0.000 | 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