Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming
Author:
Affiliation:
1. Wireless @ Virginia Tech,Bradley Department of ECE,Blacksburg,VA,24061
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10017432/10017302/10017637.pdf?arnumber=10017637
Reference11 articles.
1. 5G NR Jamming, Spoofing, and Sniffing: Threat Assessment and Mitigation
2. A communications jamming taxonomy
3. Deciding what to learn: A rate-distortion approach;arumugam;International Conference on Machine Learning,2021
4. The Gaussian test channel with an intelligent jammer
5. Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
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1. Linear Jamming Bandits: Learning to Jam OFDM-Modulated Signals;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Contextual Bandits: Band of Operation Selection in Underwater Acoustic Communications;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28
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