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Optical and Aerial RISs-Enabled Hybrid FSO/RF Space-Air-Ground Integrated Network

2025· article· W7139090987 on OpenAlexafffund
Majid H. Khoshafa, Telex M. N. Ngatched, Octavia A. Dobre

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAdvanced Wireless Communication Technologies
Canadian institutionsMcMaster UniversityMemorial University of Newfoundland
FundersCanada Research Chairs
KeywordsKey (lock)Free-space optical communicationWirelessCommunications systemOptical communicationOptical wirelessCommunications satelliteLow earth orbitSatellite

Abstract

fetched live from OpenAlex

Space-air-ground integrated networks (SAGINs) are revolutionizing wireless communications by integrating space, aerial, and terrestrial networks, providing global connectivity, aiding underserved regions, and enabling 6G applications. This paper proposes a dual reconfigurable intelligent surfaces (RISs)-assisted cooperative hybrid free space optical (FSO)/ radio frequency (RF) communication framework for SAGINs to address the reliable communications challenges. The framework integrates an optical RIS on a low Earth orbit satellite and an RF aerial RIS, enhancing FSO link performance and mitigating RF line-of-sight blockages. The system uses selection combining to dynamically choose the stronger signal between FSO and RF links, ensuring robust communication in varying conditions. We derive analytical expressions for key performance metrics such as outage probability, average symbol error rate, and ergodic capacity, considering pointing errors and atmospheric turbulence effects on the FSO link. Simulation results verify the analytical derivations, highlighting the critical role of RISs in enhancing the system performance.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.009
GPT teacher head0.236
Teacher spread0.228 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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