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Record W2159936243 · doi:10.1109/vetec.1992.245287

Mobile radio group communications by satellite

2003· article· en· W2159936243 on OpenAlexaff
Victor C. M. Leung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer networkComputer scienceProtocol (science)Channel (broadcasting)Communications satelliteDuplex (building)Service (business)Mobile telephonyControl channelTransmission (telecommunications)Key (lock)Mobile radioTelecommunicationsTime division multiple accessSatelliteTelecommunications linkComputer securityEngineering

Abstract

fetched live from OpenAlex

The protocol design for a mobile radio service supporting half-duplex, push-to-talk, voice communications over mobile satellite systems currently being developed around the world is presented. The service enables a close group of mobile users to communicate among themselves, such that a transmission from any user is received by all. A key issue in the design is the efficient utilization of satellite channels. Demand assignment multiple access (DAMA) is used to allocate channels only to those user-groups in active sessions of conversations. The unique characteristics of the half-duplex, point-to-multipoint group communications necessitate the DAMA protocol proposed for this service. Within a channel assigned to a user-group, access contentions can occur among its members. The resulting loss of capacity due to collisions is exacerbated by the very long round trip delay. A novel access control signal protocol is proposed to detect an resolve across contentions, thus improving channel utilization. Analysis and numerical results are presented to illustrate the efficacy of this protocol.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.789

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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 designNot applicable
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

Citations1
Published2003
Admission routes1
Has abstractyes

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