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Record W1989852134 · doi:10.1177/0037549705060238

Simulation and Performance Evaluation of a Public Safety Wireless Network: Case Study

2005· article· en· W1989852134 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSIMULATION · 2005
Typearticle
Languageen
FieldComputer Science
TopicCellular Automata and Applications
Canadian institutionsSimon Fraser University
FundersDefense Advanced Research Projects Agency
KeywordsComputer scienceNetwork simulationSample (material)WirelessComputer networkWireless networkNetwork traffic simulationReal-time computingSimulationNetwork traffic controlTelecommunicationsNetwork packet

Abstract

fetched live from OpenAlex

In this article, the authors describe simulation and performance evaluation of a deployed radio communication network operated by a public safety agency. The network consists of a central site and multiple cells.Each cell has a finite number of available radio channels. The network is circuit-switched. Hence, the system utilization is a time and space distribution of the number of concurrent calls. To determine the traffic load variations, the authors analyze activity data from sample weeks in 2002 and 2003. They simulate the network by using the OPNET simulation tool and a newly developed network simulator named WarnSim. Simulation models are based on the collected activity data and are used to evaluate the utilization of system resources and to locate network bottlenecks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.071
GPT teacher head0.338
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it