Queue-aware uplink bandwidth allocation for polling services in 802.16 broadband wireless networks
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Bibliographic record
Abstract
Although the medium access control (MAC) signaling has been well-defined in the IEEE 802.16 specifications, resource management and scheduling, which are crucial components to guarantee QoS performances, still remain as open issues. In this paper, we propose a scheme for queue-aware uplink bandwidth allocation in a subscriber station (SS) for polling services (real-time and non-real-time) in IEEE 802.16 broadband wireless networks. The proposed scheme adaptively allocates bandwidth in order to control queue length at a target level so that the requirements for delay and PDU dropping probability can be met. We present a queueing analytical framework to analyze the proposed scheme from which various QoS performance measures can be obtained. The proposed analytical model is validated by simulations and typical numerical results are presented
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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