247 citations · 565 across the 34 of their papers we have counts for
12 papers · 1 filter
A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks
Jiacheng Wang, Hongyang Du, Dusit Niyato +6
With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content gen…
Digital Twin Based User-Centric Resource Management for Multicast Short Video Streaming
Xinyu Huang, Wen Wu, Shisheng Hu +3
Multicast short video streaming (MSVS) can effectively reduce network traffic load by delivering identical video sequences to multiple users simultaneously. The existing MSVS schem…
Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation
Guangyuan Liu, Hongyang Du, Dusit Niyato +5
Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation base…
A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC
Jiayuan Chen, Changyan Yi, Hongyang Du +5
Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI algorithms deployed at mobile edge networks to automate the information creation pro…
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
Minrui Xu, Hongyang Du, Dusit Niyato +9
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This s…
Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey
Jiayuan Chen, Changyan Yi, Samuel D. Okegbile +3
Digital twin (DT), refers to a promising technique to digitally and accurately represent actual physical entities. One typical advantage of DT is that it can be used to not only vi…
Towards Green Metaverse Networking Technologies, Advancements and Future Directions
Siyue Zhang, Wei Yang Bryan Lim, Wei Chong Ng +4
As the Metaverse is iteratively being defined, its potential to unleash the next wave of digital disruption and create real-life value becomes increasingly clear. With distinctive…
Privacy-preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet
Minrui Xu, Dusit Niyato, Zhaohui Yang +5
Federated edge learning (FEL) is a promising paradigm of distributed machine learning that can preserve data privacy while training the global model collaboratively. However, FEL i…
Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services
Hongyang Du, Jiacheng Wang, Dusit Niyato +5
Emerging with the support of computing and communications technologies, Metaverse is expected to bring users unprecedented service experiences. However, the increase in the number…
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
Wanting Yang, Hongyang Du, Ziqin Liew +6
With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission…
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges
Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim +6
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…
Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach
Yuna Jiang, Jiawen Kang, Dusit Niyato +5
The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user expe…