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Record W2105274673 · doi:10.1109/ccece.2007.197

A QoS Negotiation Framework for Heterogeneous Wireless Networks

2007· article· en· W2105274673 on OpenAlexaff
Abdul Hasib, Abraham O. Fapojuwo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsQuality of serviceComputer scienceComputer networkMobile QoSRadio resource managementBandwidth (computing)Wireless networkWirelessKey (lock)Heterogeneous networkNegotiationDistributed computingTelecommunicationsService (business)Service providerComputer security

Abstract

fetched live from OpenAlex

This paper proposes a user-centric end-to-end QoS negotiation framework for heterogeneous wireless networks. The three key features of the framework are: the coordination between intra-domain QoS Broker (QoSB) and common radio resource management (CRRM) module, the QoS negotiation between QoSBs of source and destination radio access networks (RANs), and user-centric bandwidth allocation to achieve maximum user satisfaction with respect to cost. A QoS signaling procedure for the proposed QoS negotiation framework is presented. The delay associated with the signaling procedure is analyzed. It is found that the signaling procedure has no negative effect on network QoS performance.

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 categoriesMeta-epidemiology (narrow)
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 score0.851
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.234
Teacher spread0.226 · 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.

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

Citations2
Published2007
Admission routes1
Has abstractyes

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