58 citations · 324 across the 54 of their papers we have counts for
55 papers
Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)
Yahao Ding, Jiaxiang Wang, Zhouxiang Zhao +3
Mobile embodied AI networks (MEAN) enable embodied agents to perceive, reason, communicate, and act in wireless environments. In such networks, agent mobility can improve channel c…
Channel-Agnostic Semantic Compression for Bandwidth-Limited Visual Communication
Xuanhao Luo, Ruichen Gao, Zhizhen Li +2
Bandwidth-limited visual communication systems require efficient transmission of high-dimensional data under dynamic wireless conditions. Existing approaches either rely on joint s…
On Performance of Fluid Antenna Relay (FAR)-Assisted AAV-NOMA Wireless Network
Ruopeng Xu, Songling Zhang, Zhaohui Yang +4
In this paper, we investigate the performance of a fluid antenna relay (FAR)-assisted downlink communication system utilizing non-orthogonal multiple access (NOMA). The FAR, which…
A Secure and Private Distributed Bayesian Federated Learning Design
Nuocheng Yang, Sihua Wang, Zhaohui Yang +3
Distributed Federated Learning (DFL) enables decentralized model training across large-scale systems without a central parameter server. However, DFL faces three critical challenge…
Fluid Antenna Relay (FAR)-assisted Communication with Hybrid Relaying Scheme Selection
Ruopeng Xu, Songling Zhang, Zhaohui Yang +3
In this paper, we investigate a fluid antenna relay (FAR)-assisted communication system with hybrid relaying scheme selection. By leveraging statistical channel state information (…
Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
Zhouxiang Zhao, Ran Yi, Yihan Cang +5
This letter addresses the energy efficiency issue in unmanned aerial vehicle (UAV)-assisted autonomous systems. We propose a framework for an agentic artificial intelligence (AI)-p…
Optimization of Private Semantic Communication Performance: An Uncooperative Covert Communication Method
Wenjing Zhang, Ye Hu, Tao Luo +2
In this paper, a novel covert semantic communication framework is investigated. Within this framework, a server extracts and transmits the semantic information, i.e., the meaning o…
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…
Fair Rate Maximization for Fluid Antenna Relay (FAR)-assisted Multi-user MISO Communications
Ruopeng Xu, Zhaohui Yang, Ting Zhang +3
In this paper, we investigate the problem of max-min rate maximization in fluid antenna relay (FAR)-assisted multi-user uplink multiple-input single-output (MISO) wireless systems,…
Efficient Split Federated Learning for Large Language Models over Communication Networks
Kai Zhao, Zhaohui Yang, Ye Hu +3
Fine-tuning pre-trained large language models (LLMs) in a distributed manner poses significant challenges on resource-constrained edge networks. To address this challenge, we propo…
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…
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks
Jiaxiang Wang, Yinchao Yang, Zhaohui Yang +4
This paper investigates a novel generative artificial intelligence (GAI) empowered multi-user semantic communication system called semantic feature multiple access (SFMA) for video…
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…
Multi-modal Data based Semi-Supervised Learning for Vehicle Positioning
Ouwen Huan, Yang Yang, Tao Luo +1
In this paper, a multi-modal data based semi-supervised learning (SSL) framework that jointly use channel state information (CSI) data and RGB images for vehicle positioning is des…
Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle Positioning
Ouwen Huan, Tao Luo, Mingzhe Chen
In this paper, a multi-modal vehicle positioning framework that jointly localizes vehicles with channel state information (CSI) and images is designed. In particular, we consider a…
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…
Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks
Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen +3
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the evolution of future wireless networks. Despite their potential, the joint design of communica…
Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
Yixuan Chen, Mingzhe Chen, Hao Xu +3
In this letter, we study the energy efficiency maximization problem for a fluid antenna system (FAS) in near field communications. Specifically, we consider a point-to-point near-f…
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…
Blockchains for Internet of Things: Fundamentals, Applications, and Challenges
Yusen Wu, Ye Hu, Mingzhe Chen +2
Internet of Things (IoT) services necessitate the storage, transmission, and analysis of diverse data for inference, autonomy, and control. Blockchains, with their inherent propert…
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…