219 citations · 924 across the 126 of their papers we have counts for
34 papers · 1 filter
Acceleration Estimation of Signal Propagation Path Length Changes for Wireless Sensing
Jiacheng Wang, Hongyang Du, Dusit Niyato +3
As indoor applications grow in diversity, wireless sensing, vital in areas like localization and activity recognition, is attracting renewed interest. Indoor wireless sensing relie…
Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
Bingkun Lai, Jinbo Wen, Jiawen Kang +5
As the next-generation wireless communication system, Sixth-Generation (6G) technologies are emerging, enabling various mobile edge networks that can revolutionize wireless communi…
Generative AI for Physical Layer Communications: A Survey
Nguyen Van Huynh, Jiacheng Wang, Hongyang Du +5
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of di…
Large Language Models for Networking: Applications, Enabling Techniques, and Challenges
Yudong Huang, Hongyang Du, Xinyuan Zhang +5
The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a w…
The Age of Generative AI and AI-Generated Everything
Hongyang Du, Dusit Niyato, Jiawen Kang +9
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Gener…
Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services
Hongyang Du, Ruichen Zhang, Dusit Niyato +5
Distributed Artificial Intelligence-Generated Content (AIGC) has attracted significant attention, but two key challenges remain: maximizing subjective Quality of Experience (QoE) a…
Generative AI for Space-Air-Ground Integrated Networks
Ruichen Zhang, Hongyang Du, Dusit Niyato +5
Recently, generative AI technologies have emerged as a significant advancement in artificial intelligence field, renowned for their language and image generation capabilities. Mean…
Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective
Jiacheng Wang, Hongyang Du, Dusit Niyato +4
As generative artificial intelligence (GAI) models continue to evolve, their generative capabilities are increasingly enhanced and being used extensively in content generation. Bey…
Semantic Change Driven Generative Semantic Communication Framework
Wanting Yang, Zehui Xiong, Hongyang Du +2
The burgeoning generative artificial intelligence technology offers novel insights into the development of semantic communication (SemCom) frameworks. These frameworks hold the pot…
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
Jinbo Wen, Jiangtian Nie, Jiawen Kang +4
Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data and facilitating advanced decision-making. By integrating GAI into modern Internet…
RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
Enyu Shi, Jiayi Zhang, Hongyang Du +5
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 effici…
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses
Jinbo Wen, Jiawen Kang, Zehui Xiong +4
Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelli…
Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts
Hongyang Du, Guangyuan Liu, Dusit Niyato +5
Semantic communication (SemCom) holds promise for reducing network resource consumption while achieving the communications goal. However, the computational overheads in jointly tra…
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…
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
As the next-generation paradigm for content creation, AI-Generated Content (AIGC), i.e., generating content automatically by Generative AI (GAI) based on user prompts, has gained g…
Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Guangyuan Liu, Hongyang Du, Dusit Niyato +3
The popularity of Metaverse as an entertainment, social, and work platform has led to a great need for seamless avatar integration in the virtual world. In Metaverse, avatars must…
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu +10
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy a…
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…
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Xumin Huang, Peichun Li, Hongyang Du +4
Artificial intelligence generated content (AIGC) has emerged as a promising technology to improve the efficiency, quality, diversity and flexibility of the content creation process…
YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction
Baoxia Du, Hongyang Du, Haifeng Liu +5
Digital Twins play a crucial role in bridging the physical and virtual worlds. Given the dynamic and evolving characteristics of the physical world, a huge volume of data transmiss…
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services
Hongyang Du, Dusit Niyato, Jiawen Kang +4
Generative AI (GAI) models have been rapidly advancing, with a wide range of applications including intelligent networks and mobile AI-generated content (AIGC) services. Despite th…
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses
Jiawen Kang, Jiayi He, Hongyang Du +4
For vehicular metaverses, one of the ultimate user-centric goals is to optimize the immersive experience and Quality of Service (QoS) for users on board. Semantic Communication (Se…
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…