Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey
The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
Intelligent reflecting surface assisted anti-jamming communications: A fast reinforcement learning approach
Malicious jamming launched by smart jammers can attack legitimate transmissions, which
has been regarded as one of the critical security challenges in wireless communications …
has been regarded as one of the critical security challenges in wireless communications …
Mitigating jamming attack in 5G heterogeneous networks: A federated deep reinforcement learning approach
Jamming attack is one of the serious security breaches in the upcoming fifth-generation
heterogeneous networks (5G HetNets). Most of the existing anti-jamming techniques, such …
heterogeneous networks (5G HetNets). Most of the existing anti-jamming techniques, such …
Cloud-fog automation: Vision, enabling technologies, and future research directions
The Industry 4.0 digital transformation envisages future industrial systems to be fully
automated, including the control, upgrade, and configuration processes of a large number of …
automated, including the control, upgrade, and configuration processes of a large number of …
Artificial intelligence empowered physical layer security for 6G: State-of-the-art, challenges, and opportunities
S Zhang, D Zhu, Y Liu - Computer Networks, 2024 - Elsevier
With the commercial deployment of the 5G system, researchers from both academia and
industry are moving attention to the blueprint of the 6G system. The space-air-ground-sea …
industry are moving attention to the blueprint of the 6G system. The space-air-ground-sea …
Game theory and reinforcement learning for anti-jamming defense in wireless communications: Current research, challenges, and solutions
L Jia, N Qi, Z Su, F Chu, S Fang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the inherently open and shared nature of the wireless channels, wireless
communication networks are vulnerable to jamming attacks, and effective anti-jamming …
communication networks are vulnerable to jamming attacks, and effective anti-jamming …
Dynamic spectrum anti-jamming access with fast convergence: A labeled deep reinforcement learning approach
Y Li, Y Xu, G Li, Y Gong, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The primary objective of anti-jamming techniques is to ensure that the transmitted data
arrives at the intended receiver without being disturbed or jammed with by any jamming …
arrives at the intended receiver without being disturbed or jammed with by any jamming …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
An intelligent anti-jamming scheme for cognitive radio based on deep reinforcement learning
J Xu, H Lou, W Zhang, G Sang - IEEE Access, 2020 - ieeexplore.ieee.org
Cognitive radio network is an intelligent wireless communication system which can adjust its
transmission parameters according to the environment thanks to its learning ability. It is a …
transmission parameters according to the environment thanks to its learning ability. It is a …