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Record W2135635739 · doi:10.1109/vetecf.2003.1286356

A simple model for forward link power-based blocking in CDMA systems

2003· article· en· W2135635739 on OpenAlexaff
Mazin Al‐Shalash, J.A. Khoja, J.W. Bredow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsComputer scienceCode division multiple accessBlocking (statistics)Erlang (programming language)CDMA spectral efficiencyQueueing theorySimple (philosophy)WirelessWirelineComputer networkNear-far problemCall blockingDistributed computingTelecommunicationsTheoretical computer science

Abstract

fetched live from OpenAlex

The use of simple models based on queuing theory for the prediction of call blocking, has a long history in telephony. Formulas such as Erlang B, Erlang C, and others have been applied successfully to wireless as well as wireline systems. A simple model for the soft blocking criteria employed in CDMA systems, particularly those based on forward link power, is however lacking. Such a model must take into account the statistics of the forward link power, as well as the characteristics of the traffic. The need for such a model is exacerbated by the adoption of CDMA as the access technology for various 3rd generation wireless systems. This paper presents a simple model for forward link power-based blocking in CDMA systems. The accuracy of the model is indicated by comparing its predictions against the results obtained from a fully dynamic CDMA system simulator.

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)0.001
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 score0.919
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.054
GPT teacher head0.319
Teacher spread0.264 · 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
GenreMethods

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
Published2003
Admission routes1
Has abstractyes

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