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Record W2147766587 · doi:10.1109/glocom.1998.776614

A novel TDMA frame structure for geostationary mobile satellite systems

2002· article· en· W2147766587 on OpenAlexaff
M.S. El-Hennawey, J.A. Israr, S. Mahmoud

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceGeostationary orbitTime division multiple accessFrame (networking)Real-time computingComputer networkOverhead (engineering)Guard (computer science)Communications satelliteScheme (mathematics)Residual frameSatellite systemSatelliteTelecommunicationsReference frameGlobal Positioning SystemEngineering

Abstract

fetched live from OpenAlex

A novel TDMA frame structure is proposed for a regional geostationary (GEO) mobile satellite service (MSS) system. It supports multiple users' data rates (8 kb/s to 64 kb/s) with hand-held terminals and permits dynamic change in user data rate during the call. The traditional frame structures provide variable rate service by assigning several time slots to higher data rate users. This is very inefficient in GEO-MSS systems since guard time and other overhead bits must exist in each time slot. The basic idea of the proposed scheme is to defragment time slots frequently in a frame to minimize noninformation bits and hence provides higher capacity. The improvement in the frame capacity is reported along with the procedure for the frame defragmentation dynamics.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.625

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 head0.031
GPT teacher head0.230
Teacher spread0.199 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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