Flexible Payload Configuration for Satellites using Machine Learning
Author:
Affiliation:
1. University of Luxembourg,Interdisciplinary Centre for Security Reliability and Trust (SnT),Luxembourg
Funder
European Space Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624839.pdf?arnumber=10624839
Reference10 articles.
1. Satellite Communications in the 5G Era
2. Radio Resource Management Techniques for Multibeam Satellite Systems
3. Optimum power and beam allocation based on traffic demands and channel conditions over satellite downlinks
4. AG‐DPA: Assignment game–based dynamic power allocation in multibeam satellite systems
5. Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems
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