A transmission rate scheduling scheme for multimedia services in wireless CDMA networks
Bibliographic record
Abstract
Current wireless multimedia applications may require different quality of service (QoS) measures such as throughput, packet loss rate, delay, and delay jitter. In this paper, we propose a transmission rate scheduling scheme for code division multiple access (CDMA) networks that can provide absolute QoS guarantees. The scheduling scheme uses several M/D/1 queues, each representing a different service class, and allocates a transmission rate to each queue so as to satisfy the different QoS requirements. In addition, the scheduling scheme provides relative differentiated services among the different service classes so that the network operator is able to tune QoS ratios between these classes independent of the class loads. An optimization problem is proposed that maximizes the transmission rate allocations among mobile stations (MSs). Analysis and simulation results are used to illustrate the viability of the scheduling scheme. Such a scheme can be applied in the emerging DS (differentiated services) Internet.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".