4 citations · 7 across the 18 of their papers we have counts for
19 papers
Federated 3D Gaussian Splatting for Large-Scale Scene Reconstruction at Wireless Edge
Guanlin Wu, Chao Hu, Pu Chen +4
Three-dimensional (3D) Gaussian splatting (3D-GS) has emerged as a promising technique for large-scale scene reconstruction due to its high rendering efficiency and fidelity. Howev…
Sense Smarter, Think Better: A Survey on Edge Perception for Next-Generation Networks
Zhonghao Lyu, Xiaowen Cao, Xianxin Song +11
Edge perception has emerged as a foundational capability for future wireless networks, enabling the network edge to proactively sense, interpret, and interact with the physical env…
Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
Xinnong Du, Zhonghao Lyu, Xiaowen Cao +3
Federated edge learning (FEEL) provides a promising foundation for edge artificial intelligence (AI) by enabling collaborative model training while preserving data privacy. However…
Integrated Sensing and Communication: Towards Multifunctional Perceptive Network
Yuanhao Cui, Jiali Nie, Fan Liu +7
The capacity-maximization design philosophy has driven the growth of wireless networks for decades. However, with the slowdown in recent data traffic demand, the mobile industry ca…
Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
Dingzhu Wen, Sijing Xie, Xiaowen Cao +4
This paper studies an over-the-air federated edge learning (Air-FEEL) system with integrated sensing, communication, and computation (ISCC), in which one edge server coordinates mu…
Wireless Control over Edge Networks: Joint User Association and Communication-Computation Co-Design
Zhilin Liu, Yiyang Li, Huijun Xing +3
This paper studies a wireless networked control system with multiple base stations (BSs) cooperatively coordinating the wireless control of a number of subsystems each consisting o…
Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems
Yilong Chen, Chao Hu, Zixiang Ren +5
This paper considers a multi-functional orthogonal frequency division multiplexing (OFDM) system with integrated sensing, communication, and powering (ISCAP), in which a multi-ante…
End-to-End Generative Semantic Communication Powered by Shared Semantic Knowledge Base
Shuling Li, Yaping Sun, Jinbei Zhang +3
Semantic communication has drawn substantial attention as a promising paradigm to achieve effective and intelligent communications. However, efficient image semantic communication…
Joint Signal Detection and Automatic Modulation Classification via Deep Learning
Huijun Xing, Xuhui Zhang, Shuo Chang +4
Signal detection and modulation classification are two crucial tasks in various wireless communication systems. Different from prior works that investigate them independently, this…
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
Zhonghao Lyu, Yuchen Li, Guangxu Zhu +3
In some applications, edge learning is experiencing a shift in focusing from conventional learning from scratch to new two-stage learning unifying pre-training and task-specific fi…
Energy-Efficient Hybrid Beamforming with Dynamic On-off Control for Integrated Sensing, Communications, and Powering
Zeyu Hao, Yuan Fang, Xianghao Yu +4
This paper investigates the energy-efficient hybrid beamforming design for a multi-functional integrated sensing, communications, and powering (ISCAP) system. In this system, a bas…
Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
Peigen Ye, Yaping Sun, Shumin Yao +3
Codebook-based generative semantic communication attracts increasing attention, since only indices are required to be transmitted when the codebook is shared between transmitter an…
Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems
Shicong Liu, Xianghao Yu, Zhen Gao +3
Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of th…
Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN
Zezhong Zhang, Guangxu Zhu, Junting Chen +1
In the 6G era, real-time radio resource monitoring and management are urged to support diverse wireless-empowered applications. This calls for fast and accurate estimation on the d…
Integrated Sensing, Communication, and Powering (ISCAP): Towards Multi-functional 6G Wireless Networks
Yilong Chen, Zixiang Ren, Jie Xu +3
This article presents a novel multi-functional system for a sixth-generation (6G) wireless network with integrated sensing, communication, and powering (ISCAP), which unifies integ…
MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic Communication
Yingbin Zhou, Yaping Sun, Guanying Chen +5
Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face challenges with conflicting requirements between codebook…
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
Xiangyu Gao, Yaping Sun, Dongyu Wei +4
With the proliferation of edge computing, efficient AI inference on edge devices has become essential for intelligent applications such as autonomous vehicles and VR/AR. In this co…
Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design
Ziqin Zhou, Xiaoyang Li, Guangxu Zhu +3
In the sixth-generation (6G) networks, massive low-power devices are expected to sense environment and deliver tremendous data. To enhance the radio resource efficiency, the integr…
Knowledge Base Enabled Semantic Communication: A Generative Perspective
Jinke Ren, Zezhong Zhang, Jie Xu +4
Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. However, providing effective semantic representation is quit…