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Record W4405205315 · doi:10.1109/lwc.2024.3514452

A Scalable Architecture for Future Regenerative Satellite Payloads

2024· article· en· W4405205315 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Wireless Communications Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsC-Com Satellite Systems (Canada)Polytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaMitacsConsortium de Recherche et d’innovation en Aérospatiale au Québec
KeywordsComputer scienceSatelliteScalabilityArchitectureSatellite broadcastingComputer architectureDistributed computingAstrobiologyAerospace engineeringEngineeringOperating system

Abstract

fetched live from OpenAlex

This letter addresses the limitations of current satellite payload architectures, which are predominantly hardware-driven and lack the flexibility to adapt to increasing data rate demands and uneven traffic. We propose a novel architecture for regenerative and programmable satellite payloads to overcome these challenges, utilizing interconnected modem banks to enhance scalability and flexibility. We formulate an optimization problem to efficiently manage traffic among these modem banks and balance the load. Additionally, we provide numerical simulation results, focusing on end-to-end delay and packet loss analysis. The results illustrate that our proposed architecture maintains lower delays and packet losses even with higher traffic demands and smaller buffer sizes.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.803
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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