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Record W2119309906 · doi:10.1109/.2005.1467101

Optimal Downlink Data Transmission Scheduling in Next Generation Wireless Systems.

2005· article· en· W2119309906 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
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer scienceScheduling (production processes)WirelessBase stationTelecommunications linkPower controlOptimal controlMathematical optimizationQuadratic equationSkewQuadratic programmingJob shop schedulingScalabilityDistributed computingComputer networkPower (physics)MathematicsTelecommunications

Abstract

fetched live from OpenAlex

The scheduling of data transmission from base station to mobiles, in wireless CDMA based systems, is formulated as an optimal control problem under a quadratic objective. Minimum tune transmission requires a scheduling scheme whereby attention is devoted to a single mobile at a time, and maximum available power is used when transmitting. However, amongst the infinitely many candidate time minimizing schedules, some are deemed fairer or better in some sense than others. We show how quadratic type objectives are flexible enough to skew the controls in the desired direction, and furthermore, we establish that the solution to the resulting optimal control problem (quadratic objective, linear in the dynamics with nonlinear state constraints) can be approached via a standard linear quadratic regulator framework. Scalability of the proposed algorithms is achieved for large numbers of users through an exact aggregation theory

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: Methods · Consensus signal: none
Teacher disagreement score0.658
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.254
Teacher spread0.209 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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