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Record W2135598580 · doi:10.1109/icc.2007.971

Cell Mobility Based Admission Control for Wireless Networks with Link Adaptation

2007· article· en· W2135598580 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 institutionsDalhousie University
Fundersnot available
KeywordsComputer scienceComputer networkWireless broadbandAdmission controlWireless networkMobility managementTelecommunications linkWiMAXCall Admission ControlLink adaptationCellular networkWirelessQueueing theoryBroadband networksChannel (broadcasting)BroadbandTelecommunicationsQuality of serviceFading

Abstract

fetched live from OpenAlex

Link adaptation is one of the key technologies used in high speed wireless networks such as HSDPA and mobile WiMAX. The dynamic feature of mobile users' channel capacities brings challenges to the call admission control algorithm deployed for such networks. Our aim in this paper is to develop an admission control scheme that handles the intra-cell mobility issue in the downlink of broadband wireless networks with link adaptation. When the cell is decomposed into "rings", the intra-cell mobility can be modeled as a BCMP queuing chain network. Additionally, a change detection system is employed to track the non-stationary parameters. Our cell mobility-based admission control algorithm can provide efficient resource allocation by predicting min-guaranteed resource consumption on a per cell basis.

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: Methods · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score0.468

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 communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.278
Teacher spread0.254 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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