Routing and link scheduling with QoS in IEEE 802.16 mesh networks
Bibliographic record
Abstract
Quality of service (QoS) in wireless mesh networks is an active area of research which is driven by the increasing demand for multimedia content delivered wirelessly. The IEEE 802.16 (WiMAX) standard identifies four classes of service targeting throughput, delay, and jitter. In this paper, we achieve two main objectives. (1) We present a routing metric sensitive to both interference and throughput which proves effective in QoS provisioning, a link scheduling algorithm that can easily accommodate all four classes of service by using the concept of feasible intervals, and an effective channel allocation algorithm inspired by a constraint programming heuristic. (2) We prove that the usual approach of constructing routing trees centred at the base station could lock significant network resources. By simply switching to a session based routing strategy, we illustrate that the acceptance ratio under a congested network can improve by more than 10% when compared to the tree based routing driven by our interference and throughput aware metric and by more than 25% when the routing tree is constructed with the metric sensitive to interference only.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".