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Record W1489208033 · doi:10.1109/glocom.2002.1188218

Aggressive code-division generalized processor sharing for QoS guarantee in multimedia CDMA cellular networks

2003· article· en· W1489208033 on OpenAlexaff
Liang Xu, Xuemin Shen, J.W. Mark

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceCode division multiple accessComputer networkQuality of serviceScheduling (production processes)Cellular networkThroughputGeneralized processor sharingDynamic priority schedulingWirelessTelecommunicationsRound-robin scheduling

Abstract

fetched live from OpenAlex

A dynamic fair scheduling scheme, named aggressive code-division generalized processor sharing (A-CDGPS) scheme, is proposed to guarantee quality of service (QoS) for multimedia traffic in the uplinks of direct-sequence wideband code division multiple access (CDMA) cellular networks. The scheme performs slot-by-slot fair scheduling of the physical channel rates in response to the variation of multimedia traffic rates, and maximizes the utilization of the 30-called soft capacity of the CDMA uplinks. With the A-CDGPS scheme, deterministic delay bounds for heterogeneous traffic are derived. Simulation results show that the A-CDGPS is able to guarantee the delay requirement for delay-sensitive traffic, assure the weighted fairness among all the users, and maximize the throughput of delay-insensitive traffic.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score0.802

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 communication0.0000.001
Open science0.0020.001
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 head0.037
GPT teacher head0.306
Teacher spread0.269 · 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
GenreMethods

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

Citations2
Published2003
Admission routes1
Has abstractyes

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