Efficient resource management for packet mode cdma2000
Bibliographic record
Abstract
Abstract Mobile systems have recently evolved from being simple devices used for voice communications to systems that support new features such as data transmissions, video streaming and Internet access. The capacity demands to handle these new services led to a new era of wireless technologies. cdma2000 1xEV‐DV is considered to be the solution for the ever‐growing demand of high‐speed wireless packet data transmission. In this paper, we investigate several aspects related to resource management techniques over the cdma2000 1xEV‐DV reverse packet data channel (R‐PDCH). In particular, based on the developed rise over thermal (RoT) model, we provide an upper bound for the R‐PDCH throughput as a function of the number of mobile stations (MSs) that are allowed to transmit instantaneously on each time slot. We also provide a lower bound for the average sector throughput based on the number of users per sector. We propose several autonomous rate assignment, and scheduling techniques that provide a significant throughput improvement relative to other published techniques. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".