A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges

M Xu, WC Ng, WYB Lim, J Kang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

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 …

Semantic communications for future internet: Fundamentals, applications, and challenges

W Yang, H Du, ZQ Liew, WYB Lim… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …

A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications

Z Wang, J Zhang, H Du, D Niyato, S Cui… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial
degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth …

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 …

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 …

Rethinking quality of experience for metaverse services: A consumer-based economics perspective

H Du, B Ma, D Niyato, J Kang, Z Xiong, Z Yang - IEEE Network, 2023 - ieeexplore.ieee.org
The Metaverse is considered to be one prototype of the next-generation Internet, which
contains people's expectations for the future world. However, the academic discussion of the …

Hfedms: Heterogeneous federated learning with memorable data semantics in industrial metaverse

S Zeng, Z Li, H Yu, Z Zhang, L Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL), as a rapidly evolving privacy-preserving collaborative machine
learning paradigm, is a promising approach to enable edge intelligence in the emerging …