119 citations · 447 across the 34 of their papers we have counts for
11 papers · 1 filter
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
Junlong Chen, Jiawen Kang, Minrui Xu +5
Avatars, as promising digital assistants in Vehicular Metaverses, can enable drivers and passengers to immerse in 3D virtual spaces, serving as a practical emerging example of Arti…
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
Misha Urooj Khan, Maham Misbah, Zeeshan Kaleem +2
The usage of drones has tremendously increased in different sectors spanning from military to industrial applications. Despite all the benefits they offer, their misuse can lead to…
6G Enabled Advanced Transportation Systems
Ruiqi Liu, Meng Hua, Ke Guan +6
With the emergence of communication services with stringent requirements such as autonomous driving or on-flight Internet, the sixth-generation (6G) wireless network is envisaged t…
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…
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
With the phenomenal success of diffusion models and ChatGPT, deep generation models (DGMs) have been experiencing explosive growth from 2022. Not limited to content generation, DGM…
Multidimensional Resource Fragmentation-Aware Virtual Network Embedding in MEC Systems Interconnected by Metro Optical Networks
Yingying Guan, Qingyang Song, Weijing Qi +3
The increasing demand for diverse emerging applications has resulted in the interconnection of multi-access edge computing (MEC) systems via metro optical networks. To cater to the…
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…
User Pairing and Power Allocation in Untrusted Multiuser NOMA for Internet-of-Things
Chaoying Yuan, Wei Ni, Kezhong Zhang +3
In the Internet-of-Things (IoT), massive sensitive and confidential information is transmitted wirelessly, making security a serious concern. This is particularly true when technol…
Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systems
Yingping Cui, Tiejun Lv, Wei Ni +1
This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-centric cell-free (UCCF) system managed with the assistance of a digital twin (DT). Spe…
RIS-Assisted Jamming Rejection and Path Planning for UAV-Borne IoT Platform: A New Deep Reinforcement Learning Framework
Shuyan Hu, Xin Yuan, Wei Ni +2
This paper presents a new deep reinforcement learning (DRL)-based approach to the trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the Internet-of-…