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Record W2098800705 · doi:10.1109/wcnc.2003.1200615

Call admission control in wideband CDMA cellular networks by using fuzzy logic

2004· article· en· W2098800705 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
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCall Admission ControlCall blockingCode division multiple accessHandoverComputer scienceComputer networkWidebandCellular networkFuzzy logicBlocking (statistics)Outage probabilityBandwidth (computing)Signal-to-interference ratioScheme (mathematics)Base stationTelecommunicationsWirelessWireless networkFadingMathematicsEngineeringChannel (broadcasting)Electronic engineering

Abstract

fetched live from OpenAlex

A novel call admission control (CAC) scheme using fuzzy interference for a wideband code division multiple access (CDMA) cellular system is proposed. The fuzzy CAC first estimates the newly arriving mobile station's (MS) effective bandwidth and its mobility information, and then makes a decision to accept or reject the MS's connection request based on the estimates and the system status. Numerical results are given to demonstrate the performance of the proposed fuzzy CAC scheme in terms of new call blocking probability, handoff call dropping probability, outage probability and resource utilization.

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: Methods · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.522

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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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