4 citations · 7 across the 18 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…