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 …
Generative AI for secure physical layer communications: A survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
Generative AI for physical layer communications: A survey
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
Generative AI for deep reinforcement learning: Framework, analysis, and use cases
As a form of artificial intelligence (AI) technology based on interactive learning, deep
reinforcement learning (DRL) has been widely applied across various fields and has …
reinforcement learning (DRL) has been widely applied across various fields and has …
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 …
Multi-Objective Aerial Collaborative Secure Communication Optimization Via Generative Diffusion Model-Enabled Deep Reinforcement Learning
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
To mitigate primary user emulation attack trajectory using cognitive single carrier frequency division multiple access approaches: Towards next generation green IoT
The growing cognizance of spectrum scarcity has become a more significant concern in
wireless radio communications. Due to the exponential growth of data transmission in …
wireless radio communications. Due to the exponential growth of data transmission in …
Deep reinforcement learning-based distributed dynamic spectrum access in multi-user multi-channel cognitive radio internet of things networks
X Zhang, Z Chen, Y Zhang, Y Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Integrating cognitive radio into Internet of Things (IoT) is conducive to reducing spectrum
scarcity for large-scale IoT deployment, where a core technology is the design of spectrum …
scarcity for large-scale IoT deployment, where a core technology is the design of spectrum …
Robust Spectrum Access Scheme Against Diverse Jamming Policies: A Prioritized Fictitious Rival Play-Based Approach
With the rapid development of reinforcement learning (RL)-enhanced anti-jamming wireless
communication technologies and jamming technologies, intelligent communication …
communication technologies and jamming technologies, intelligent communication …