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Record W4225907514 · doi:10.36227/techrxiv.19623849

Performance Analysis of Hybrid SAG-FSO/RF Satellite Communication System

2022· preprint· en· W4225907514 on OpenAlexaff
ramy samy

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFree-space optical communicationComputer scienceTransmission (telecommunications)Communications systemCommunications satelliteElectronic engineeringSatelliteRelayScintillationOptical communicationTelecommunicationsEngineeringDetectorPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

Satellite constellations have become a promising solution for future Terabits/s connectivity. However, conventional radio frequency (RF) communication links are unable to achieve such high throughput due to the limited spectrum available. Free-space optical (FSO) communication has recently acquired a growing interest in the satellite communication (Satcom) community as a potential solution. Nonetheless, FSO communication is sensitive to the adverse effects of beam scintillation, beam-wander-induced pointing errors, free-space loss, and weather conditions. To mitigate these effects, we present a new space-air-ground (SAG) FSO transmission system with a strategically deployed high-altitude platform relay. It can effectively remedy the effect of atmospheric impairments on FSO transmission, particularly at high zenith angles. Then, we integrate the proposed SAG-FSO link and traditional space-ground FSO/RF links to further improve system performance and reliability. We carry out a thorough performance analysis of the resulting hybrid SAG-FSO/RF communication systems. Tractable analytical expressions for the symbol error and outage probabilities are derived. The numerical results highlight the significant potential of the proposed, highly innovative Satcom systems over existing solutions. Furthermore, Monte-Carlo simulations are performed to validate the accuracy of the analytical results.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.001
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 head0.016
GPT teacher head0.231
Teacher spread0.214 · 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.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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