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Record W2128847308 · doi:10.1109/icc.2004.1313351

Adaptive downlink multi-carrier resource allocation for real-time multimedia traffic in cellular systems

2004· article· en· W2128847308 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 institutionsMcGill University
Fundersnot available
KeywordsComputer scienceQuality of serviceTelecommunications linkResource allocationSpectral efficiencyComputer networkChannel (broadcasting)Interference (communication)MultimediaMobile QoSReal-time computingService (business)Service delivery framework

Abstract

fetched live from OpenAlex

This paper presents adaptive downlink multi-carrier resource allocation strategies based on channel information suitable for real-time multimedia services in mobile cellular systems. Both user quality-of-service (QoS) and system performance in terms of system spectral efficiency are considered in the evaluation and comparison of the proposed schemes. Simulation results show that by employing the time-varying channel responses to arrange and allocate the sub-carriers according their expected signal-to-noise ratio (SNR) quality, the proposed scheme offers a substantial increase in system spectral efficiency in supporting real-time multimedia services of different QoS requirements. Interference avoidance strategies are also introduced to further enhance the performance of voice services in cellular systems.

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 score0.817
Threshold uncertainty score0.884

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 communication0.0000.000
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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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

Citations12
Published2004
Admission routes1
Has abstractyes

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