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Record W2164186047 · doi:10.1109/glocom.1997.644567

Performance of a knockout switch for multimedia satellite communications

2002· article· en· W2164186047 on OpenAlexaff
Tho Le‐Ngoc, Tien Hy Bui, M. Hachicha

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsBurstinessComputer scienceTelecommunications linkComputer networkStatistical time division multiplexingReal-time computingJitterDedicated short-range communicationsNetwork packetMarkov processQueueing theoryMultiplexingTelecommunicationsWireless

Abstract

fetched live from OpenAlex

This paper investigates the performance of a multiple-beam satellite communications system using an on-board knockout switch to support multimedia services. Aggregate voice or video traffic is modeled as a 2-state Markov modulated Poisson process (MMPP) while two models for aggregate data traffic, MMPP and Pareto-modulated Poisson process (PMPP), are used to examine the effects of traffic burstiness and long-range dependent behavior. Multiple-frequency time division multiple access (MF-TDMA) is used on the uplink in conjunction with a dynamic capacity allocation scheme. Higher priority is given to voice, and video realtime traffic to avoid delay variation. An on-board downlink queue for jitter-tolerant data is provided to achieve high statistical multiplexing gain. Simulation results show that packet loss due to the knockout contention scheme is much lower than that due to the limited capacity on the uplink and downlink. This makes the knockout architecture attractive for on-board switching to achieve low complexity.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.691

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 science0.0040.001
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 head0.084
GPT teacher head0.308
Teacher spread0.224 · 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 designOther design
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

Citations6
Published2002
Admission routes1
Has abstractyes

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