Intelligent Channel Prediction and Power Adaptation in LEO Constellation for 6G
Author:
Affiliation:
1. University of Science and Technology,Beijing,China
2. Xidian University,China
3. State Radio Monitoring Center,China
4. Memorial University,Canada
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
http://xplorestaging.ieee.org/ielx7/65/10239283/10239354.pdf?arnumber=10239354
Reference15 articles.
1. An Updated Comparison of Four Low Earth Orbit Satellite Constellation Systems to Provide Global Broadband
2. Efficient Power Control for Satellite-Borne Batteries Using Q-Learning in Low-Earth-Orbit Satellite Constellations
3. Power Control Based on Deep Reinforcement Learning for Spectrum Sharing
4. Performance of Multibeam Very High Throughput Satellite Systems Based on FSO Feeder Links With HPA Nonlinearity
5. Dynamic Channel Allocation Aided Random Access for SDN-Enabled LEO Satellite IoT
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