Method of Optimizing the Costs of a Satellite Network in Ka and Q/V Bands in the Feeder Link
Open accessAbstract
The importance of implementing the use of the Ka and Q/V bands in the Feeder Link lies in the saturation that exists in other frequency bands. The new generation of HTS/VHTS satellites operates based on multibeam coverage; one of the main advantages of the HTS/VHTS satellites is the reduction of the cost of available satellite capacity. The method proposed in this paper for the optimization of the costs of a HTS satellite network focuses on the analysis of the forward link depending on the number of beams used and the G/T ratio of the user station. The methodology presented in this paper achieves the optimal trade-off solution for the highest capacity achievable according to a set of technical and cost requirements and constraints for different scenarios.
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Adding ML and cognitive algorithms will open up entire new fields of research with the potential to reduce complexity, enhance performance, and undoubtedly minimize the cost of space operations.
“Although autonomous control systems without humans in the loop already exist for ground station network management, adding ML and cognitive algorithms will open up entire new fields of research with the potential to reduce complexity, enhance performance, and undoubtedly minimize the cost of space operations [181] [180].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [180]
For the first time the advantages and disadvantages of applying ML to space links in actual flight environment was demonstrated in an experiment using NASA's Space Communication and Navigation Testbed onboard the ISS and the ground station located at NASA John H. Glenn Research Center.
“For the first time the advantages and disadvantages of applying ML to space links in actual flight environment was demonstrated in an experiment using NASA's Space Communication and Navigation Testbed onboard the ISS and the ground station located at NASA John H. Glenn Research Center.”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [180]
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Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68 · see citing works
“New propositions for flexible payloads systems must take into account the analysis of novel efficient cost function to optimize resources allocation and the analysis of the payload architecture and its adaptive allocation methods for new traffic demand scenarios [179].”
Background
- Authors
- Ortíz-Gómez, F. G., Martínez-Rodríguez-Osorio, R., & Landeros-Ayala, S.
- Affiliations
- Technical University of Madrid
- National Autonomous University of Mexico
- Venue
- 35th AIAA International Communications Satellite Systems Conference
- Published
- 2017-10-16
- OpenAlex
- W2900465560
- Cited by
- 5
- References
- 0
- Citations by year
- 2026: 1 · 2021: 1 · 2020: 2 · 2019: 1
- FWCI
- 1.44
- Type
- conference paper
- Language
- en
- Open access
- green
- oa.upm.es
- Licence
- cc-by-nc-nd
- Locations
- AIAA International Communications Satellite Systems Conference (ICSSC) (publishedVersion)
- Hispana (acceptedVersion, cc-by-nc-nd)
- Archivo Digital UPM (Universidad Politécnica de Madrid) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Design and Technology
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Space exploration and regulation
- Keywords
- Ka-band, Q/V band, feeder links, high throughput satellites, multibeam satellite systems, downlink, satellite capacity
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