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Record W2107952779 · doi:10.1109/csndsp.2008.4610801

Optimization of beam width, bit error rate and availability for free-space optical links

2008· article· en· W2107952779 on OpenAlex
Ahmed A. Farid, Steve Hranilovic

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 institutionsMcMaster University
Fundersnot available
KeywordsFree-space optical communicationBit error rateOn-off keyingPulse-position modulationKeyingBandwidth (computing)Computer scienceBeam (structure)Electronic engineeringOptical communicationAdaptive opticsPower (physics)Optical powerBeam diameterPhase-shift keyingOpticsPhysicsTelecommunicationsDecoding methodsEngineeringPulse (music)Laser beamsLaserPulse-amplitude modulation

Abstract

fetched live from OpenAlex

The design of free-space optical (FSO) communication links based on beam width optimization is investigated. Bit error rate (BER) and link availability for on-off keying (OOK) and pulse position modulations (PPM) are analyzed. For a required BER and fixed transmitted optical power, optimizing the transmitted beam width maximizes link availability. The combined effects of atmospheric turbulence and pointing errors are considered. Different weather conditions are considered and three scenarios are investigated: adaptive, semi-adaptive and fixed beam width over weather conditions. The performance-complexity tradeoff is analyzed in the design. Beam width adaptation for subsets of weather conditions as a sub-optimum solution shows a remarkable performance improvement over the fixed beam scenario. In all cases, significant performance in link availability is shown when employing PPM over widely used OOK signaling at a cost of more bandwidth.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.336
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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