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Satellite Communications in the New Space Era: A Survey and Future Challenges

2025· preprint· en· W4406184578 on OpenAlexaff
Ebou A Sowe

Bibliographic record

VenuePreprints.org · 2025
Typepreprint
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsSatelliteCommunications satelliteSpace (punctuation)TelecommunicationsGeographyComputer scienceRemote sensingEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

Satellite communications have become indispensable in the New Space Era, driven by technological advancements and the proliferation of small satellite constellations. This survey report aims to provide a comprehensive analysis of the current state of satellite communications in this era, examining technological advancements, emerging trends, and future challenges. It explores the historical background of satellite communications, highlighting the miniaturization of satellites, the deployment of high-throughput satellites, and the integration of satellite networks with terrestrial infrastructure. Additionally, it addresses the challenges faced by the industry, including spectrum congestion, space debris management, cybersecurity threats, and regulatory considerations. The survey provides insights into the advantages of Low Earth Orbit satellite constellations. It also discusses satellite communication initiatives in remote areas, highlighting their wide coverage, connectivity solutions, disaster resilience, and diverse applications. The report concludes by acknowledging the limitations of satellite communication while emphasizing ongoing technological advancements that address challenges and improve the efficiency and reliability of communication services in remote areas.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0030.003
Research integrity0.0000.002
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 head0.225
GPT teacher head0.364
Teacher spread0.139 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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