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Record W2147764054 · doi:10.1109/vetec.1998.686445

Modeling and resource allocation in wireless multimedia CDMA systems

2002· article· en· W2147764054 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
KeywordsComputer scienceQuality of serviceComputer networkResource allocationWireless networkWirelessCode division multiple accessMulti-frequency networkMultimediaBase stationContext (archaeology)Wireless Multimedia ExtensionsPower controlRadio resource managementHandoverWi-Fi arrayTelecommunicationsPower (physics)

Abstract

fetched live from OpenAlex

To comply with future communications needs, it is desirable to provide multimedia services at wireless access points. In a wireless multimedia context, resource allocation is crucial because the channel quality varies with time and the network resources are scarce. We address the resource allocation problem in wireless multimedia CDMA (code division multiple access) systems. The objectives are: (1) to develop a wireless multimedia model based on CDMA to provide data rate and quality of service (QoS) on demand and to integrate various traffic types efficiently, and (2) to develop a mathematical programming problem to optimize resource allocation based on a wireless service provider's perspective. In comparison with the previous work, the proposed multimedia model supports a wider range of applications and service qualities, and combines power control, rate allocation and base station assignment with controlled handoff switching and dropped calls in a multi-cell environment.

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: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.308

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 science0.0010.000
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 head0.048
GPT teacher head0.268
Teacher spread0.220 · 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

Citations18
Published2002
Admission routes1
Has abstractyes

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