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Record W2111377928 · doi:10.1109/ccece.2004.1347588

Link-layer modeling of a wireless channel using stochastic network calculus

2004· article· en· W2111377928 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

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAdvanced Queuing Theory Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNetwork calculusComputer scienceQueueing theoryWireless networkQuality of serviceChannel (broadcasting)Probabilistic logicNetwork packetWirelessMarkov chainMarkov processComputer networkAlgorithmDistributed computingMathematical optimizationMathematicsTelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

Network calculus (NC) is an elegant theory for performance evaluation of QoS-based queueing networks. By applying the stochastic NC, we present a modular dynamic approach which effectively models the behaviour of a finite-state Markov wireless channel, observed from the link level. This is sufficient for extending the theory to wireless networking, by allowing us to analyse a complete data network containing wireless links, and to evaluate its end-to-end QoS metrics, e.g. delay, backlog, and packet loss, within probabilistic constraints. These bounds are expressed with equations that provide the likelihood of attaining these bounds within a desired probability. With a practical example, the effectiveness of the proposed approach is demonstrated.

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)0.000
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: none
Teacher disagreement score0.750
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.252
Teacher spread0.219 · 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

Quick stats

Citations6
Published2004
Admission routes1
Has abstractyes

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