Outage Performance of Exponentiated Weibull FSO Links Under Generalized Pointing Errors
Bibliographic record
Abstract
Even in clear conditions, free-space optical (FSO) links are impaired by scintillation and dynamic misalignment which result in a slow fading channel. This paper presents the first characterization of outage performance for single-input/single-output FSO links over exponentiated Weibull atmospheric turbulence and generalized misalignment. A novel feature of this paper is that a generalized pointing error model is employed which not only takes into account the impact of different jitters for the elevation and the horizontal displacement but also the effect of different boresight errors for each axis. The developed asymptotic expressions are used to find optimum beam widths that minimize the impact of pointing error effects in a variety of atmospheric turbulence conditions. Obtained results corroborate that the impact of generalized pointing errors is approximately the same over moderate and strong turbulence conditions when an aperture-averaged receiver is considered. Additionally, the use of a transmitter with optimized beam width can result in large gains on the order of 5 dB or even greater.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".