Communication load and delay in multichannel land mobile systems for dispatch traffic: A queueing analysis
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Bibliographic record
Abstract
Methods for analysis of land mobile radio trunked systems with dispatch traffic were investigated. A queuing model is proposed to take into account fleet delays, which occur when mobile operators must wait because their own dispatchers are busy with a call. A decomposition approach is applied to solve the model using well-known queuing results. Once the distribution of central delays due to channel sharing is known, fleet delays are computed by means of an M/G/1 model with finite population. For trunked systems supporting a large number of fleets, the analysis of central delays is performed using the G/H/sub 2//s queue. When the number of fleets is not much greater than the number of channels, channel sharing delays must be analyzed by means of a multiserver queue with finite population. Simulations are used to validate the decomposition approach. The results obtained show that besides depending on the communication load, the grade of service of trunked systems also depends on the size of fleets.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.001 | 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 | 0.001 | 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