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Record W2151441863 · doi:10.1109/ngmast.2008.48

Charging for Multi-grade Services in the IP Multimedia Subsystem

2008· article· en· W2151441863 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
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsEricsson (Canada)Concordia University
Fundersnot available
KeywordsIP Multimedia SubsystemComputer scienceProvisioningQuality of serviceComputer networkFocus (optics)MultimediaService (business)Differentiated servicesNext-generation networkThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

Flexible charging and QoS provisioning are two of the main motivations behind the IP multimedia subsystem (IMS), defined by 3GPP. We have previously proposed a call differentiation solution for 3G networks. This solution defines different grades of calls with different QoS profiles, and uses a preemptive approach to give priority to more important calls over others. This idea of multi-grade services enables the users to choose the appropriate grade of call for each of their sessions, depending on the priorities/ guarantees they require. A suitable charging model is needed for the effective charging and billing of such services. In this paper, we focus on the charging aspects of multi-grade IMS services. The IMS online and offline charging mechanisms are leveraged and extended to tackle this issue. Furthermore, a proof-of-concept prototype, showcasing different multi-grade service charging scenarios, is presented.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.633

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 head0.032
GPT teacher head0.242
Teacher spread0.210 · 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