Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin, Z Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

Federated learning-empowered AI-generated content in wireless networks

X Huang, P Li, H Du, J Kang, D Niyato, DI Kim… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial intelligence generated content (AIGC) has emerged as a promising technology to
improve the efficiency, quality, diversity and flexibility of the content creation process by …

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 …

Generative AI for deep reinforcement learning: Framework, analysis, and use cases

G Sun, W Xie, D Niyato, F Mei, J Kang… - IEEE Wireless …, 2025 - ieeexplore.ieee.org
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 …

Diffusion model-based incentive mechanism with prospect theory for edge AIGC services in 6G IoT

J Wen, J Nie, Y Zhong, C Yi, X Li, J Jin… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The fusion of the Internet of Things (IoT) with sixth-generation (6G) technology has
significant potential to revolutionize the IoT landscape. With the ultrareliable and low-latency …

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 …

Denoising diffusion probabilistic models for hardware-impaired communications

M Letafati, S Ali, M Latva-Aho - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Generative AI has received significant attention among a spectrum of diverse industrial and
academic domains, thanks to the magnificent results achieved from deep generative models …

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …