A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,China
2. The University of New South Wales,Australia
3. University College London,UK
4. University of Texas,USA
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437731.pdf?arnumber=10437731
Reference13 articles.
1. A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues
2. 6G and Beyond: The Future of Wireless Communications Systems
3. Energy-Efficient Resource Allocation for UAV-Assisted Vehicular Networks With Spectrum Sharing
4. Resource Allocation and Trajectory Design in UAV-Assisted Jamming Wideband Cognitive Radio Networks
5. Deep-Reinforcement-Learning-Based Spectrum Resource Management for Industrial Internet of Things
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