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Deep Reinforcement Learning Based Dynamic Channel Allocation Algorithm in Multibeam Satellite Systems

  • Published:2018 Issue: Volume:6 Page:15733-15742
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Liu ShuaijunORCID,Hu Xin,Wang Weidong

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 73 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing;IEEE Transactions on Machine Learning in Communications and Networking;2024

2. A Fundamental Discussion on Reward-Based Reinforcement Learning for Uplink Resource Allocation in NTN;2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU);2023-11-29

3. Interference analysis between NGSO systems based on the beam coverage and link angle;Journal of Physics: Conference Series;2023-10-01

4. A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments;EURASIP Journal on Wireless Communications and Networking;2023-09-28

5. Benefits of Ka-band GaN MMIC High Power Amplifiers With Wide Bandwidth and High Spectral/Power Added Efficiencies for Cognitive Radio Platforms;2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW);2023-06-20
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