Reliable Satellite Optical Backhaul Feeder Links for Remote Areas via Fiber Tethered Aerostats
Bibliographic record
Abstract
Enabling high-speed internet access in rural areas is vital for advancing education, healthcare, environmental protection, and economic growth. However, the cost of backhaul poses a significant barrier to achieving broadband connectivity in these regions. Optical satellite-ground feeder links offer an affordable solution for rural backhauling, delivering high-speed capabilities. Nevertheless, cloud-induced attenuation poses a major challenge, often leading to substantial degradation or complete disruption of such optical satellite feeder links. To address this issue, we propose an optical feeder link utilizing fiber tethered aerostats. Our study focuses on evaluating the performance of this proposed approach in Canada's expansive northern geography, where we analyze the statistical distributions of cloud-induced attenuation using ERA5 data. We compare the availability of the proposed approach with traditional ground diversity approaches. The numerical results demonstrate that even during the warm months when liquid clouds cause significant attenuation, the proposed approach achieves a link availability of over 95%.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".