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Record W2142007865 · doi:10.1109/wcnc.2008.362

Virtual Partitioning for Connection Admission Control in Cellular/WLAN Interworking

2008· article· en· W2142007865 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 British Columbia
Fundersnot available
KeywordsHandoverComputer networkBlocking (statistics)Computer scienceAdmission controlQuality of serviceCall blockingCall Admission ControlService (business)WirelessWi-FiWireless networkShared resourceLocal area networkCellular networkWireless lanTelecommunications

Abstract

fetched live from OpenAlex

Wireless wide area networks (WWANs) and wireless local area networks (WLANs) have complementary characteristics which make them suitable to jointly offer an ubiquitous wireless solution. In cellular/WLAN interworking, the quality of service (QoS) requirements for different services (e.g., voice and real-time video) can be guaranteed by using connection admission control. In this paper, we propose the use of virtual partitioning (VP) [S. Borst and D. Mitra] resource sharing scheme to facilitate admission control in a multi-service integrated cellular/WLAN system. VP pre-allocates a nominal capacity for each service based on the expected traffic and the required blocking probabilities. We first determine the policy functions corresponding to VP for new and handoff connection requests. Then, three different nominal capacities for VP are compared with the cutoff priority policy. Numerical results show that lower blocking and dropping probabilities can be achieved by VP in a wide range of conditions.

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: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.418

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 head0.012
GPT teacher head0.207
Teacher spread0.196 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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