Communication load and delay in multichannel land mobile systems for dispatch traffic: A queueing analysis
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.>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".