Tundra satellite orbits for very-high-throughput optical feederlinks: part II: system characteristics and trade-offs
Bibliographic record
Abstract
Future Very High-Throughput Satellites are foreseen to implement optical ground-to-satellite feeder links to achieve multiterabit- per-second data rates. Optical links, however, are highly susceptible to atmospheric losses caused by turbulence, absorption, and scattering, especially at low elevation angles. Despite prior confirmation of cloud-free network availability, high-latitude stations have been notably absent from optical feeder link studies due to the limitation of Geostationary orbits in providing sufficiently high link elevation angles. Tundra orbits present a promising alternative to Geostationary orbits, because they can ensure continuous coverage also at high-latitude regions like in Europe and Canada, with link geometries highly suitable for optical communications. Tundra link architectures require two satellites for constant coverage, but they deliver at least twice the data volume throughput from the same ground network which balances. This paper addresses optical feeder link implementation aspects in Tundra orbits and selects a suitable orbit to service Canada while considering aspects such as coverage, radiation environment, pointing angles, and delta-v impact. A complementary paper, Part I, deals with end-to-end communications simulations while this paper focusses on uplink amplitude statistics and related dynamic turbulence penalties that are considered a major design driver in optical feederlink architectures. The analysis in this paper focuses on angular anisoplanatism and highlights the link geometry impact on pre-compensation efficacy. This analysis anticipates a 3.6 dB link budget advantage for a two-satellite Tundra configuration over Geostationary under benign atmospheric conditions, using the same ground network. Which leads to a more than twice the data throughput and balances using two satellites instead of one. These findings highlight Tundra constellations’ potential to enhance satellite communication infrastructure, providing robust, efficient service in regions where Geostationary orbits faces limitations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".