58 citations · 324 across the 54 of their papers we have counts for
9 papers · 1 filter
Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
Hanzhi Yu, Yuchen Liu, Zhaohui Yang +2
In this paper, we investigate an accurate synchronization between a physical network and its digital network twin (DNT), which serves as a virtual representation of the physical ne…
Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks
Xuanhao Luo, Zhizhen Li, Zhiyuan Peng +2
The increasing demand for high-speed and reliable wireless networks has driven advancements in technologies such as millimeter-wave and 5G radios, which requires efficient planning…
Contextual Combinatorial Beam Management via Online Probing for Multiple Access mmWave Wireless Networks
Zhizhen Li, Xuanhao Luo, Mingzhe Chen +3
Due to the exponential increase in wireless devices and a diversification of network services, unprecedented challenges, such as managing heterogeneous data traffic and massive acc…
Digital Network Twins for Next-generation Wireless: Creation, Optimization, and Challenges
Zifan Zhang, Zhiyuan Peng, Hanzhi Yu +2
Digital network twins (DNTs), by representing a physical network using a virtual model, offer significant benefits such as streamlined network development, enhanced productivity, a…
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Zifan Zhang, Minghong Fang, Mingzhe Chen +3
In the era of 5G and beyond, the increasing complexity of wireless networks necessitates innovative frameworks for efficient management and deployment. Digital twins (DTs), embodyi…
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Zifan Zhang, Yuchen Liu, Zhiyuan Peng +3
Optimizing edge caching is crucial for the advancement of next-generation (nextG) wireless networks, ensuring high-speed and low-latency services for mobile users. Existing data-dr…
Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Zifan Zhang, Mingzhe Chen, Zhaohui Yang +1
In recent years, the complexity of 5G and beyond wireless networks has escalated, prompting a need for innovative frameworks to facilitate flexible management and efficient deploym…
Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Xuefei Li, Mingzhe Chen, Ye Hu +3
In this paper, the problem of vehicle service mode selection (sensing, communication, or both) and vehicle connections within terahertz (THz) enabled joint sensing and communicatio…
Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks
Xuefei Li, Mingzhe Chen, Yuchen Liu +3
In this paper, the problem of joint communication and sensing is studied in the context of terahertz (THz) vehicular networks. In the studied model, a set of service provider vehic…