Joint Rate Control and Resource Allocation in OFDMA Wireless Mesh Networks
Bibliographic record
Abstract
The authors develop distributed algorithms for joint end-to-end rate control and resource (e.g., subcarrier, power) allocation in orthogonal frequency division multiple access (OFDMA)-based wireless mesh networks. These algorithms allow spatial reuse where the same subcarrier can be used for simultaneous transmissions on different links as long as they weakly interfere with each other. The subcarrier allocation algorithm is based on routing information and a novel definition of interference sets and it aims at providing fair transmission rate among traffic flows in an end-to-end basis. The joint rate and power control is treated as a network utility maximization problem considering interference of simultaneous transmissions on the same subcarrier with node power constraint. The numerical results confirm the convergence of the joint rate and power control algorithm and show that fair end-to-end transmission is achieved. With the distributed radio resource management framework developed in this paper, a proper spatial reuse can be done to achieve good system throughput performance.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".