Downlink flow control for wireless CDMA packet data networks
Why this work is in the frame
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Bibliographic record
Abstract
We consider the control of downlink packet flow at the base stations of code-division multiple-access (CDMA) wireless networks in the presence of in-cell transmission power and out-of-cell interference limitations. The objective is to maximize data throughput while ensuring fairness among users and limiting queuing and transmission delays. The algorithm proposed assigns the packets to be transmitted to separate queues, one for each spatial zone within which packets require roughly equal resources from the target cell and impose equal interference on a neighbor cell. Packets are selected for transmission from the head of each queue until available resources for the slot interval are exhausted. Queues from which transmission would cause excessive out-of-cell interference are blocked. Fairness can be ensured by minimizing the delay variance for the remaining head-of-queue packets. We provide results for tradeoffs between throughput and fairness for constant and time-varying resource availability. Throughput drops significantly when fairness to distant mobiles is required.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.001 | 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