A Centralized Multi-User Anti-Composite Intelligent Interference Algorithm Based on Improved Q-Learning

A Centralized Multi-User Anti-Composite Intelligent Interference Algorithm Based on Improved Q-Learning

This paper proposes a central anti-jamming algorithm (CAJA) based on improved Q-learning to further solve the communication challenges faced by multi-user wireless communication networks in terms of external complex malicious interference. This will also reduce the dual factors restricting wireless...

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Bibliographic Details
Main Authors: Yingtao Niu, Boyu Wan, Changxing Chen
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
Q learning
compound intelligent interference
multi-user
centralized wireless communication network
Online Access:https://www.mdpi.com/2079-9292/12/8/1803

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