Hidden Node-Aware Dynamic Spectrum Access using Deep Learning for Coexisting Aeronautical Communication Systems
Author:
Affiliation:
1. Hamburg University of Technology,Institute of Communications,Germany
2. Hamburg University of Technology,Institute of Communication Networks,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10333258/10333344/10333681.pdf?arnumber=10333681
Reference12 articles.
1. Towards Modern Air-to-Air Communications: the LDACS A2A Mode
2. LDACS Flight Trials: Demonstration and Performance Analysis of the Future Aeronautical Communications System
3. Coexistence of Shared-Spectrum Radio Systems through Medium Access Pattern Learning using Artificial Neural Networks
4. Time- and Frequency-Domain Dynamic Spectrum Access: Learning Cyclic Medium Access Patterns in Partially Observable Environments;Lindner;Electronic Communications of the EASST,2021
5. Deep Learning-Based Dynamic Spectrum Access for Coexistence of Aeronautical Communication Systems
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