Analysis of downlink capacity for an OFDM based cellular system
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Bibliographic record
Abstract
In this paper, we investigate the capacity performance of downlink transmission for an orthogonal frequency division multiplexing (OFDM) based cellular system. Three resource allocation schemes are examined for a multi-user cellular system by evaluating their channel capacity bound averages. The first scheme is random subchannel allocation with equal probabilities, the second scheme is subchannel allocation with equal overall capacities, and the third scheme is adaptive subchannel allocation among active users. Analytical and numerical methods are combined to study the capacity performance of these three resource allocation schemes for both 1-cell and 3-cell frequency reuse plans (FRPs). Results show that the 1-cell FRP exhibits a higher average capacity than the 3-cell FRP for the three resource allocation schemes in almost all conditions when the total available bandwidth is fixed. Furthermore, the adaptive subchannel allocation scheme offers a significant capacity improvement for both the FRPs.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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 it