247 citations · 565 across the 34 of their papers we have counts for
34 papers
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…
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Meng Shen, Zhehui Tan, Dusit Niyato +7
Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the p…
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…
Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach
Hao Yang, Nan Cheng, Ruijin Sun +5
This paper proposes an novel knowledge-driven approach for resource allocation in device-to-device (D2D) networks using a graph neural network (GNN) architecture. To meet the milli…
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
Xiucheng Wang, Nan Cheng, Lianhao Fu +5
Deep learning has been successfully adopted in mobile edge computing (MEC) to optimize task offloading and resource allocation. However, the dynamics of edge networks raise two cha…
A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse
Yijing Lin, Zhipeng Gao, Hongyang Du +4
As the Metaverse continues to grow, the need for efficient communication and intelligent content generation becomes increasingly important. Semantic communication focuses on convey…
Realizing Immersive Communications in Human Digital Twin by Edge Computing Empowered Tactile Internet: Visions and Case Study
Hao Xiang, Changyan Yi, Kun Wu +5
Human digital twin (HDT) is expected to revolutionize the future human lifestyle and prompts the development of advanced human-centric applications (e.g., Metaverse) by bridging ph…
Guiding AI-Generated Digital Content with Wireless Perception
Jiacheng Wang, Hongyang Du, Dusit Niyato +5
Recent advances in artificial intelligence (AI), coupled with a surge in training data, have led to the widespread use of AI for digital content generation, with ChatGPT serving as…
Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks
Yinqiu Liu, Hongyang Du, Dusit Niyato +6
The rapid development of Artificial IntelligenceGenerated Content (AIGC) has brought daunting challenges regarding service latency, security, and trustworthiness. Recently, researc…
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…
On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds
Cheng-Xiang Wang, Xiaohu You, Xiqi Gao +16
Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offe…
Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework
Ismail Lotfi, Dusit Niyato, Sumei Sun +2
In this paper, we address the problem of designing incentive mechanisms by a virtual service provider (VSP) to hire sensing IoT devices to sell their sensing data to help creating…
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
Hongyang Du, Zonghang Li, Dusit Niyato +5
Artificial Intelligence-Generated Content (AIGC) refers to the use of AI to automate the information creation process while fulfilling the personalized requirements of users. Howev…
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…
Semantic-Aware Sensing Information Transmission for Metaverse: A Contest Theoretic Approach
Jiacheng Wang, Hongyang Du, Zengshan Tian +4
With the advancement of network and computer technologies, virtual cyberspace keeps evolving, and Metaverse is the main representative. As an irreplaceable technology that supports…
Digital Twin-Assisted Collaborative Transcoding for Better User Satisfaction in Live Streaming
Xinyu Huang, Mushu Li, Wen Wu +2
In this paper, we propose a digital twin (DT)-assisted cloud-edge collaborative transcoding scheme to enhance user satisfaction in live streaming. We first present a DT-assisted tr…
Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding
Hongyang Du, Jiacheng Wang, Dusit Niyato +5
Semantic communications can reduce the resource consumption by transmitting task-related semantic information extracted from source messages. However, when the source messages are…
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…
A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Web 3.0 enables user-generated contents and user-selected authorities. With decentralized wireless edge computing architectures, Web 3.0 allows users to read, write, and own conten…
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…
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication
Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim +4
Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC system…
DQCO: Distributed Quantum Computing for Collaborative Optimization in Future Networks
Napat Ngoenriang, Minrui Xu, Jiawen Kang +4
With the advantages of high-speed parallel processing, quantum computers can efficiently solve large-scale complex optimization problems in future networks. However, due to the unc…