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Record W2145273166 · doi:10.1109/vetecf.2002.1040354

Scheduling algorithms for the cdma2000 packet data evolution

2003· article· en· W2145273166 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 institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceScheduling (production processes)Network packetProportionally fairReal-time computingRound-robin schedulingComputer networkAlgorithmFair-share schedulingQuality of serviceMathematical optimization

Abstract

fetched live from OpenAlex

The paper presents a performance comparison of several scheduling algorithms for the forward link of the high data rate (HDR) system. This system has been adopted as a possible evolutionary path for the North American 3/sup rd/ generation cdma2000 cellular system, and is designed to enable high bit rate packet data access. On the HDR forward link, only one user receives packet data in a given time slot. Hence, a scheduling algorithm is necessary to determine which user among those requesting service should receive data. In our performance analysis, we assume data packets are always available for transmission to every user. The scheduler performance is evaluated in terms of the average throughput per sector as a function of the number of users in the sector and the bit rate distributions. The throughput distributions over a set of users, the average delay per packet and per user, and the distributions of packet delays and allocated slots per user are also determined as a measure of fairness of the scheduling algorithms.

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 score0.503
Threshold uncertainty score0.266

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 head0.039
GPT teacher head0.267
Teacher spread0.228 · 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

Citations45
Published2003
Admission routes1
Has abstractyes

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