27 citations · 61 across the 18 of their papers we have counts for
19 papers
Towards Semantic Internet of Everything in the Age of Agentic AI
Dayu Fan, Rui Meng, Yunfei Liu +7
Semantic communication improves task effectiveness by transmitting task-relevant information. However, most existing schemes remain organized as task-specific, end-to-end pipelines…
Joint Sensing and Covert Communications in RIS-NOMA Systems
Jiayi Lei, Xidong Mu, Tiankui Zhang +2
A reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) system is investigated, where the transmitter (Alice) is a dual functional radar communica…
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu +9
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
Xiyu Zhao, Qimei Cui, Weicai Li +5
Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide persona…
A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
Xiyu Zhao, Qimei Cui, Wei Ni +5
The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can re…
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission
Wanting Yang, Zehui Xiong, Qianqian Yang +3
With the rapid development of autonomous driving and extended reality, efficient transmission of point clouds (PCs) has become increasingly important. In this context, we propose a…
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
Xiyu Zhao, Qimei Cui, Ziqiang Du +6
Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). L…
Modeling and Performance Analysis of IoT-over-LEO Satellite Systems under Realistic Operational Constraints: A Stochastic Geometry Approach
Wen-Yu Dong, Shaoshi Yang, Ping Zhang +1
Current theoretical studies on IoT-over-LEO satellite systems often rely on unrealistic assumptions, such as infinite terrestrial areas and omnidirectional satellite coverage, leav…
ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling
Sixian Wang, Jincheng Dai, Xiaoqi Qin +3
Recent advancements in neural image codecs (NICs) are of significant compression performance, but limited attention has been paid to their error resilience. These resulting NICs te…
NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission
Weijie Yue, Zhongwei Si, Bolin Wu +5
We introduce NeRFCom, a novel communication system designed for end-to-end 3D scene transmission. Compared to traditional systems relying on handcrafted NeRF semantic feature decom…
Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks
Xiao-Yang Wang, Shaoshi Yang, Jianhua Zhang +2
Significant challenges remain for realizing precise positioning and velocity estimation in perceptive vehicular networks (PVN) enabled by the emerging integrated sensing and commun…
Stochastic Geometry Based Modelling and Analysis of Uplink Cooperative Satellite-Aerial-Terrestrial Networks for Nomadic Communications with Weak Satellite Coverage
Wen-Yu Dong, Shaoshi Yang, Ping Zhang +1
Cooperative satellite-aerial-terrestrial networks (CSATNs), where unmanned aerial vehicles (UAVs) are utilized as nomadic aerial relays (A), are highly valuable for many important…
Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models
Wanting Yang, Zehui Xiong, Shiwen Mao +4
The surge in connected devices in 6G with typical complex tasks requiring multi-user cooperation, such as smart agriculture and smart cities, poses significant challenges to unsust…
Federated Contrastive Learning for Personalized Semantic Communication
Yining Wang, Wanli Ni, Wenqiang Yi +3
In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…
Holographic MIMO Systems, Their Channel Estimation and Performance
Yuanbin Chen, Ying Wang, Zhaocheng Wang +1
Holographic multiple-input multiple-output (MIMO) systems constitute a promising technology in support of next-generation wireless communications, thus paving the way for a smart p…
Channel-Transferable Semantic Communications for Multi-User OFDM-NOMA Systems
Lan Lin, Wenjun Xu, Fengyu Wang +3
Semantic communications are expected to become the core new paradigms of the sixth generation (6G) wireless networks. Most existing works implicitly utilize channel information for…
Integrated Sensing and Communication enabled Multiple Base Stations Cooperative Sensing Towards 6G
Zhiqing Wei, Wangjun Jiang, Zhiyong Feng +5
Driven by the intelligent applications of sixth-generation (6G) mobile communication systems such as smart city and autonomous driving, which connect the physical and cyber space,…
Waveform Design for MIMO-OFDM Integrated Sensing and Communication System: An Information Theoretical Approach
Zhiqing Wei, Jinghui Piao, Xin Yuan +5
Integrated sensing and communication (ISAC) is regarded as the enabling technology in the future 5th-Generation-Advanced (5G-A) and 6th-Generation (6G) mobile communication system.…
Integrated Communication, Sensing, and Computation Framework for 6G Networks
Xu Chen, Zhiyong Feng, J. Andrew Zhang +4
In the sixth generation (6G) era, intelligent machine network (IMN) applications, such as intelligent transportation, require collaborative machines with communication, sensing, an…