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Record W3086990738 · doi:10.1109/lcomm.2020.3023074

Reliable Broadcast Based on Online Fountain Codes

2020· article· en· W3086990738 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Communications Letters · 2020
Typearticle
Languageen
FieldComputer Science
TopicError Correcting Code Techniques
Canadian institutionsGlycemic Index LaboratoriesUniversity of Alberta
FundersNatural Science Foundation of Beijing MunicipalityChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsFountain codeComputer scienceFountainDecoding methodsRaptor codeLuby transform codeScheme (mathematics)Code (set theory)WirelessTheoretical computer scienceAlgorithmComputer networkTelecommunicationsBlock codeConcatenated error correction codeMathematics

Abstract

fetched live from OpenAlex

In this letter, we study wireless broadcast schemes based on online fountain codes. We first propose and analyze an online fountain code based-broadcast scheme, where the coded symbol degree is updated based on the decoding states of all receivers. Then we propose and analyze an improved broadcast scheme by taking advantage of the received coded symbols that are not immediately decodable. Simulation results demonstrate that our proposed scheme has better performance compared to other broadcast schemes based on feedback fountain codes.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.000
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 head0.063
GPT teacher head0.303
Teacher spread0.240 · 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