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Record W2167065061 · doi:10.1109/vetecs.2000.851306

Performance of multi-rate data traffic using variable spreading gain in the reverse link under wideband CDMA

2002· article· en· W2167065061 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 Toronto
Fundersnot available
KeywordsCode division multiple accessWidebandComputer scienceComputer networkQuality of serviceBandwidth (computing)High data rateData as a serviceVariable (mathematics)Electronic engineeringReal-time computingTelecommunicationsEngineeringWirelessService (business)Mathematics

Abstract

fetched live from OpenAlex

We analyze the capacity of a variable spreading gain code division multiple access (VSG-CDMA) system. Multi-rate data services will be supported in wideband CDMA systems. VSG-CDMA is one way of implementing multi-rate systems, the other being multi-code CDMA. The integration of voice, low speed data and high speed data is considered in the analysis. We also consider various data rates with different QoS requirements and activity levels. The capacity estimate of this integrated system is the maximum number of concurrent voice users, low speed data users and high speed data users that the system can support while the required QoS and outage probability measures are met. We analytically find the admissible region of multiple services with data rates ranging from 8 kbps to 256 kbps in a wideband CDMA system with 5 MHz bandwidth.

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)0.002
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 score0.554
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0040.001
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 head0.188
GPT teacher head0.328
Teacher spread0.140 · 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

Citations30
Published2002
Admission routes1
Has abstractyes

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