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 …

Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

A tutorial on near-field XL-MIMO communications towards 6G

H Lu, Y Zeng, C You, Y Han, J Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising technology for
the sixth-generation (6G) mobile communication networks. By significantly boosting the …

Energy efficient semantic communication over wireless networks with rate splitting

Z Yang, M Chen, Z Zhang… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …

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 …

AI-generated incentive mechanism and full-duplex semantic communications for information sharing

H Du, J Wang, D Niyato, J Kang… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
The next generation of Internet services, such as Metaverse, rely on mixed reality (MR)
technology to provide immersive user experiences. However, limited computation power of …

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 …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

Semantics-empowered space-air-ground-sea integrated network: New paradigm, frameworks, and challenges

S Meng, S Wu, J Zhang, J Cheng… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In the coming sixth generation (6G) communication era, to provide seamless and ubiquitous
connections, the space-air-ground-sea integrated network (SAGSIN) is envisioned to …

MADDPG-based joint service placement and task offloading in MEC empowered air-ground integrated networks

J Du, Z Kong, A Sun, J Kang, D Niyato… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) empowered air–ground integrated networks (AGINs)
hold great promise in delivering accessible computing services for users and Internet of …