Joint Sub-Band and Transmission Rate Selection for Anti-Jamming Non-Contiguous Orthogonal Frequency Division Multiplexing System: An Upper Confidence Bound Based Reinforcement Learning Approach

Joint Sub-Band and Transmission Rate Selection for Anti-Jamming Non-Contiguous Orthogonal Frequency Division Multiplexing System: An Upper Confidence Bound Based Reinforcement Learning Approach

Reinforcement Learning (RL) has been employed to assign transmission parameters to all sub-carriers in a set frequency band for anti-jamming Orthogonal Frequency Division Multiplexing (OFDM) systems. However, prior works often overlooked the influence of wireless environment fading and convergence i...

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Bibliographic Details
Main Authors: Xinyi Yuan, Long Yu, Yusheng Li, Yifan Xu, Yuxin Shi
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
anti-jamming
NC-OFDM
sub-band and transmission rate selection
FSMS model
reinforcement learning
Online Access:https://www.mdpi.com/2079-9292/12/21/4418

Internet

https://www.mdpi.com/2079-9292/12/21/4418

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