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Record W2150229451 · doi:10.1109/vetec.1998.686087

Rate control for ABR service in wireless ATM networks

2002· article· en· W2150229451 on OpenAlexaff
Merin Francis, Weihua Zhuang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceBottleneckComputer networkAsynchronous Transfer ModeMarkov processNode (physics)Wireless networkBase stationQuality of serviceAsynchronous communicationReal-time computingWirelessTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This paper proposes a rate control scheme with a binary feedback mechanism for available bit rate (ABR) services in an interconnected wireless/wired asynchronous transfer mode (ATM) network. The rate control system model consists of a single bottleneck node, multiple mobile/fixed traffic sources and a binary feedback scheme. The rate of the mobile ABR source is determined based on the binary feedback that is received from the bottleneck node, as well as on the quality of the wireless link between the mobile source and the base station. A mathematical model for the rate control scheme which takes into consideration the user mobility, wireless channel quality and propagation delays is developed. Markov modulated fluid modeling is used to characterize the stochastic nature of the mobile/fixed sources. We have shown that the system consisting of the multiple mobile/fixed traffic sources, binary feedback scheme, and the bottleneck node server can be modeled using a Markov process. We have derived a set of first-order linear differential equations and appropriate boundary conditions for the stationary distribution of the state process which describes the overall rate control system.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.039
GPT teacher head0.276
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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