The Effect of Correlated Shadowing on Power Control Error in Satellite CDMA Systems
Bibliographic record
Abstract
Power control process tries to counter balance the power fluctuations in the channel and keep the received power within the prescribed limits. This process has to be accurate in CDMA systems, where all mobile user signals must be received at the same power level in order to maximize the system capacity. In a land mobile satellite channel, if the shadowing autocorrelation changes very rapidly, the length of the round trip propagation delay inherent in the satellite channel would make it difficult for the power control algorithm to track the power variations in the received signal, resulting in an unacceptable performance. In the literature, it is well known that the magnitude of variability (i.e. sigma) of the shadowing process has a crucial effect on the performance of adaptive power control. In this paper, it is demonstrated that in addition to the magnitude of variability, shadowing autocorrelation property also significantly affects the power control performance and it should be taken into account in the mobile satellite system performance evaluations
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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 | 0.002 | 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 | 0.002 | 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".