At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

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 …

Generative AI for secure physical layer communications: A survey

C Zhao, H Du, D Niyato, J Kang, Z Xiong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …

Generative AI for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

Iot in the era of generative ai: Vision and challenges

X Wang, Z Wan, A Hekmati, M Zong, S Alam… - arXiv preprint arXiv …, 2024 - arxiv.org
Equipped with sensing, networking, and computing capabilities, Internet of Things (IoT) such
as smartphones, wearables, smart speakers, and household robots have been seamlessly …

Intra-domain knowledge reuse assisted reinforcement learning for fast anti-jamming communication

Q Zhou, Y Niu, P Xiang, Y Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The novel technology based on reinforcement learning (RL) is considered as a promising
direction to achieve cognitive and even intelligent anti-jamming communication. However …

Intelligent dynamic spectrum anti-jamming communications: A deep reinforcement learning perspective

W Li, J Chen, X Liu, X Wang, Y Li… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Wireless devices are vulnerable to malicious jammers due to the openness of the spectrum
environment. However, traditional anti-jamming approaches work on predetermined …

Broadband Anti-Jamming With Distributed Sensing and Deep Reinforcement Learning: Spectrum Compression and Reward Estimation

J Zhang, X Wu, F Tian - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
This paper investigates the dynamic frequency selection problem in broadband anti-
jamming communications through distributed sensing and deep reinforcement learning. In …

Deep reinforcement learning based hopping strategy for wideband anti-jamming wireless communications

J Qi, H Zhang, X Qi, M Peng - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Frequency hopping has been proved to be effective against radio jamming attacks in
wireless communications. In this article, deep reinforcement learning algorithm is applied for …

Robust Spectrum Access Scheme Against Diverse Jamming Policies: A Prioritized Fictitious Rival Play-Based Approach

H Han, Y Xu, W Li, X Wang, Y Xu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
With the rapid development of reinforcement learning (RL)-enhanced anti-jamming wireless
communication technologies and jamming technologies, intelligent communication …