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Record W2535215378 · doi:10.1109/icupc.1994.383093

Emerging standards for PCS traffic performance

2002· article· en· W2535215378 on OpenAlexaff
Raj Pandya

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsPersonal Communications ServiceComputer scienceStandardizationComputer networkTelecommunicationsService providerQuality of serviceWirelessService (business)Telecommunications serviceComputer securityWireless networkWi-Fi arrayBusiness

Abstract

fetched live from OpenAlex

Delays in accessing the service (delays in user/terminal authentication or call set up) and/or denial of service due to non-availability of resources (call blocking, hand-off failure) are key traffic performance parameters for PCS (personal communication service). These parameters will have a significant impact on the quality of service perceived by the end users of PCS. Suitable standards (target limits) for such traffic parameters are required to ensure user-acceptance of emerging PCS services. This paper summarizes the approach adopted by the ITU-T (ITU Telecommunication Standardization Sector, formerly CCITT) on developing traffic performance standards for Personal Communication Services. In ITU-T these services are being addressed as part of UPT (Universal Personal Telecommunication) and FPLMTS (Future Public Land Mobile Telecommunication Systems) standards. The former addresses the personal mobility aspects of PCS (for wireline and wireless access) and the latter addresses the terminal mobility aspects (wireless access).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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.

How this classification was reachedexpand

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: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.922

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)0.0010.000

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 head0.214
Teacher spread0.204 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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