Relay-Assisted Free-Space Optical Communications
Bibliographic record
Abstract
The atmospheric lightwave propagation is considerably influenced by \nthe random variations in the refractive index of air pockets due to \nturbulence. This undesired effect significantly degrades the \nperformance of free-space optical (FSO) communication systems. \nInterestingly, the severity of such random degradations is highly \nrelated to the range of atmospheric propagation. In this thesis, we \nintroduce relay-assisted FSO communications as a very promising \ntechnique to combat the degradation effects of atmospheric \nturbulence. Considering different configurations of the relays, we \nquantify the outage behavior of the relay-assisted system and \nidentify the optimum relaying scheme. We further optimize the \nperformance of the relay-assisted FSO system subject to some power \nconstraints and provide optimal power control strategies for \ndifferent scenarios under consideration. Moreover, an application of \nFSO relaying technique in quantum communications is investigated. \nThe results demonstrate impressive performance improvements for the \nproposed relay-assisted FSO systems with respect to the conventional \ndirect transmission whether applied in a classical or a quantum communication channel.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".