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 **ong… - … 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 …

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 …

RIS-aided cell-free massive MIMO systems for 6G: Fundamentals, system design, and applications

E Shi, J Zhang, H Du, B Ai, C Yuen… - Proceedings of the …, 2024 - ieeexplore.ieee.org
An introduction of intelligent interconnectivity for people and things has posed higher
demands and more challenges for sixth-generation (6G) networks, such as high spectral …

Enabling intelligent connectivity: A survey of secure isac in 6g networks

X Zhu, J Liu, L Lu, T Zhang, T Qiu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The rapid growth of intelligent sensing capabilities and super computation power in 6G
mobile communication systems has facilitated their application in diverse domains such as …

Generative AI-driven semantic communication networks: Architecture, technologies and applications

C Liang, H Du, Y Sun, D Niyato, J Kang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …

Exploring collaborative distributed diffusion-based AI-generated content (AIGC) in wireless networks

H Du, R Zhang, D Niyato, J Kang, Z **ong, DI Kim… - Ieee …, 2023 - ieeexplore.ieee.org
Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the
widespread adoption of AI-generated content (AIGC) has emerged, allowing for the …

Diffusion-based reinforcement learning for edge-enabled AI-generated content services

H Du, Z Li, D Niyato, J Kang, Z **ong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As Metaverse emerges as the next-generation Internet paradigm, the ability to efficiently
generate content is paramount. AI-Generated Content (AIGC) emerges as a key solution, yet …

A unified framework for guiding generative AI with wireless perception in resource constrained mobile edge networks

J Wang, H Du, D Niyato, J Kang, Z **ong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the significant advancements in artificial intelligence (AI) technologies and
computational capabilities, generative AI (GAI) has become a pivotal digital content …

Flexible-position MIMO for wireless communications: Fundamentals, challenges, and future directions

J Zheng, J Zhang, H Du, D Niyato, S Sun… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
The flexible-position multiple-input multiple-output (FLP-MIMO)-used in, for example, fluid
antennas and movable antennas-is a promising technology for future wireless …

CDDM: Channel denoising diffusion models for wireless semantic communications

T Wu, Z Chen, D He, L Qian, Y Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in
artificial intelligence generated content (AIGC) in recent years. The property of DM for …