Performance analysis for the forward link of multiuser satellite communication systems
Bibliographic record
Abstract
Summary Broad‐band satellite communication is an indispensable method to provide seamless connectivity for people especially in remote areas. This paper analyzes the performance of the forward link of a multiuser satellite system operating in Ka band, where a gateway delivers signal to a satellite that forwards the amplified signal to multiple users on the ground. By assuming that satellite links experience double lognormal fading due to rain attenuation and taking the effects of antenna pattern and path loss into account, we first exploit the opportunistic user scheduling (OUS) scheme to obtain the maximal output signal‐to‐noise ratio (SNR) expression of the satellite system. Then, the analytical expressions for both outage probability (OP) and ergodic capacity (EC) of the considered satellite system are derived. Finally, simulation results demonstrate the validity of the theoretical analysis and the superiority of the OUS scheme in comparison with round‐robin scheme.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".