Stability of slotted ALOHA access with capture provided by an adaptive array
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Bibliographic record
Abstract
We study slotted ALOHA multiple access when a satellite contains an on-board antenna array to attenuate interference. This leads to a capture phenomenon in slotted ALOHA that is provided by the adaptive array. As expected, and as earlier reported in the literature, the adaptive array can improve system throughput. We find that it also improves system robustness. That is, the probabilities of new packet generation and retransmission can vary over a wider range than for slotted ALOHA and still maintain nearly maximum throughput. The same is true for the average packet delay and average system backlog. As in the earlier literature the adaptive beamforming capability on-board the satellite is taken to be ideal. For a system with two uplink and two downlink beams the throughput increase relative to slotted ALOHA is 128% for a wide range of system parameters.
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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) | 0.001 | 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 it