A coordinated location-based downlink scheduling scheme (CLDSS) in a cellular CDMA network with partitioned cells
Bibliographic record
Abstract
The throughput of a CDMA system mainly depends on the signal-to-interference ratio (SIR). The techniques that can successfully manage the interference can improve the average rate of transmission. We propose a new scheduling scheme which coordinates the transmission between intercell mobile terminals (MTs) in a downlink CDMA system. In our scheme, we divide the cell into two flexible concentric areas based on the traffic load in the cell. The base stations (BSs) allocate the transmission power based on the distance between MTs and BSs. When one BS transmits data to an MT which is located in the inner area with less power, the neighboring BS transmits data to an MT located in the outer area with more power and vice versa. The proposed coordinated scheduling can increase the capacity of the system as well as save energy by controlling the power. Our analysis shows that it improves the performance of the MT which is located near a cell edge. Numerical results are presented to show the superiority of the proposed scheme.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".