A Comparison of artificial intelligence algorithms for dynamic power allocation in flexible high throughput satellites

The Dynamic Resource Management (DRM) problem in the context of multibeam satellite communications is becoming more relevant than ever. The future landscape of the industry will be defined by a substantial increase in demand alongside the introduction of digital and highly flexible payloads able to operate and reconfigure hundreds or even thousands of beams in real time. This increase in complexity and dimensionality puts the spotlight on new resource allocation strategies that use autonomous algorithms at the core of their decision-making systems. These algorithms must be able to find optimal resource allocations in real or near-real time. Traditional optimization approaches no longer meet all these DRM requirements and the research community is studying the application of Artificial Intelligence (AI) algorithms to the problem as a potential alternative that satisfies the operational constraints.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Aeronautics and Astronautics

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Garau Luis, Juan Jose.

Advisor dc:contributor.advisor

• Edward F. Crawley.

• Aeronautics and Astronautics.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127074

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127074