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Record W2124630138 · doi:10.1109/ccece.2001.933770

Performance analysis of wireless ATM/AAL2 over a burst error channel

2002· article· en· W2124630138 on OpenAlexaff
Luis Villaseñor-González, S. Tsukividou, Luis Orozco–Barbosa, Louise Lamont

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsCommunications Research Centre CanadaUniversity of Ottawa
Fundersnot available
KeywordsAsynchronous Transfer ModeATM adaptation layerComputer scienceComputer networkChannel (broadcasting)Wireless broadbandBroadband networksWireless networkWirelessAsynchronous communicationFrame (networking)BroadbandTelecommunications

Abstract

fetched live from OpenAlex

The growth in cellular networks has motivated research on broadband access technologies for the support of diverse services over wireless networks. Wireless asynchronous transfer mode (WATM) has been proposed as solution for next generation wireless and personal communication networks and ATM Adaptation Layer 2 (AAL2) has been identified suitable for the support of low data rate and delay sensitive voice traffic generated in cellular networks. We study the performance of AAL2 over a burst error wireless channel. Analytical expressions for performance measures of interest are derived for the Gilbert-Elliott (1960, 1963) channel and numerical results are presented to demonstrate the effect of burst errors on the AAL2 frame structure and the AAL2 performance.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.205
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2002
Admission routes1
Has abstractyes

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