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Record W2125505842 · doi:10.1109/wcnc.2003.1200619

Traffic prediction based access control in wireless CDMA networks supporting integrated services

2004· article· en· W2125505842 on OpenAlexaff
T.S. Randhawa, R.H.S. Hardy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsSimon Fraser UniversitySierra Wireless (Canada)
Fundersnot available
KeywordsComputer scienceCDMA2000Computer networkCode division multiple accessNetwork packetMarkov processMarkov chainReal-time computingAccess control

Abstract

fetched live from OpenAlex

In this paper an access control protocol is proposed and analyzed for an integrated video/voice/data DS-CDMA (direct-sequence code division multiple access) system. The protocol involves predicting the residual capacity available to non real-time data services in the reverse link (mobile to cell-site). Each real-time voice or video call is assumed to handle bursty traffic by utilizing one or more DS-CDMA channels, in parallel, as provisioned in IS-95-B and cdma2000 standards. The arrival of new calls well as the variations in the aggregate bit-rate of the existing real-time calls, and hence the number of occupied channels with respect to time, are modeled as a two-dimensional imbedded DTMC (discrete time Markov chain) process. The state of the Markov process is predicted to compute the residual capacity or the number of data packets that could be scheduled in the next time slot. Simulation results obtained, using synthetic data, are presented to demonstrate the viability of the approach. The main contribution of the paper is that it presents a simple yet effective application of the two-dimensional imbedded Markov chain model in the access control of integrated services in the reverse link of a CDMA cell.

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: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.290
Teacher spread0.274 · 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
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

Citations5
Published2004
Admission routes1
Has abstractyes

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