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Record W1990887306 · doi:10.1109/pimrc.2011.6139812

Outage analysis of Hybrid-ARQ protocols in coherent free-space optical communications

2011· article· en· W1990887306 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRetransmissionComputer scienceAutomatic repeat requestHybrid automatic repeat requestSelective Repeat ARQComputer networkGo-Back-N ARQElectronic engineeringEngineeringTelecommunications link

Abstract

fetched live from OpenAlex

In this paper, we investigate the performance of automatic retransmission request (ARQ) protocols in coherent free-space optical (FSO) communications. Specifically, we study the outage performance of three different Hybrid-ARQ (H-ARQ) protocols and characterize their performance at large values of signal-to-noise ratio (SNR) through diversity and coding gains. Our results demonstrate that significant performance gains can be achieved by the deployment of H-ARQ in coherent FSO communications especially in strong turbulence regime. Our asymptotic outage analysis further demonstrates that all protocols provide the same diversity order (which is the product of the maximum number of ARQ rounds and the minimum of the channel parameters) while they provide different coding gains.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.458

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 science0.0020.001
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 head0.071
GPT teacher head0.291
Teacher spread0.220 · 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