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Record W3089089250 · doi:10.1109/lpt.2020.3025452

Outage Performance for Mixed FSO-RF Transmission in Satellite-Aerial- Terrestrial Networks

2020· article· en· W3089089250 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 Photonics Technology Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsConcordia University
FundersNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsFadingComputer scienceRayleigh fadingTransmission (telecommunications)Electronic engineeringBeamformingMaximal-ratio combiningChannel (broadcasting)Radio frequencyChannel state informationSignal-to-noise ratio (imaging)SatelliteTelecommunicationsWirelessEngineering

Abstract

fetched live from OpenAlex

This paper analyzes the outage performance of a satellite-aerial-terrestrial network (SATN), where the satellite-aerial and aerial-terrestrial links utilize free space optical (FSO) with Gamma-Gamma fading and radio frequency (RF) transmission with Rayleigh fading, respectively. In particular, by considering the impacts of pointing error in FSO links, and exploiting transmit beamforming (BF) with imperfect channel state information (CSI) in RF links, we derive an analytical expression for the outage probability (OP) of the considered SATN with a variable-gain amplify-and-forward (AF) protocol. Then, the asymptotical OP expression in high signal-to-noise ratio regime is presented to evaluate the achievable diversity order of the system. Finally, numerical results are given to confirm the validity of the theoretical formulas and reveal the effects of various parameters on 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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.220
Teacher spread0.204 · 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