19 citations · 22 across the 16 of their papers we have counts for
16 papers
SparsePilot: Belief-Guided Network Planning under Sparse Wireless Measurements
Xuanhao Luo, Jiayuan Huang, Longyu Zhou +2
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for on-demand wireless coverage planning in urban environments. Existing learning-based UAV control methods, ho…
Network Digital Untwinning: Towards Backward Optimization of Digital Twins
Zifan Zhang, Dianwei Chen, Anjun Gao +5
Network digital twins (NDTs) are transforming network management by offering precise virtual replicas of physical network systems. However, their reliance on diverse and sensitive…
On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins
Zifan Zhang, Minghong Fang, Mingzhe Chen +1
The integration of digital twinning technologies is driving next-generation networks toward new capabilities, allowing operators to thoroughly understand network conditions, effici…
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
Shaoran Yang, Dongyu Wei, Hanzhi Yu +3
In this paper, a novel contrastive language-image pre-training (CLIP) model based semantic communication framework is designed. Compared to standard neural network (e.g.,convolutio…
Continual Reinforcement Learning for Digital Twin Synchronization Optimization
Haonan Tong, Mingzhe Chen, Jun Zhao +4
This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base…
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…
Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks
Weihang Ding, Zhaohui Yang, Mingzhe Chen +2
This paper introduces an approach to harness digital twin (DT) technology in the realm of integrated sensing and communications (ISAC) in the sixth-generation (6G) Internet-of-ever…
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…
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Zifan Zhang, Minghong Fang, Jiayuan Huang +1
Federated Learning (FL) offers a distributed framework to train a global control model across multiple base stations without compromising the privacy of their local network data. T…
Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization
Hanzhi Yu, Yuchen Liu, Mingzhe Chen
In this article, the use of channel state information (CSI) for indoor positioning is studied. In the considered model, a server equipped with several antennas sends pilot signals…
A Joint Communication and Computation Framework for Digital Twin over Wireless Networks
Zhaohui Yang, Mingzhe Chen, Yuchen Liu +1
In this paper, the problem of low-latency communication and computation resource allocation for digital twin (DT) over wireless networks is investigated. In the considered model, m…
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu, Mingzhe Chen, Sihua Wang +3
In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four passive UAVs to localize a 3D target UAV in real time is investigated. In the considered model…
A Joint Gradient and Loss Based Clustered Federated Learning Design
Licheng Lin, Mingzhe Chen, Zhaohui Yang +2
In this paper, a novel clustered FL framework that enables distributed edge devices with non-IID data to independently form several clusters in a distributed manner and implement F…