555 citations · 2.3k across the 97 of their papers we have counts for
14 papers · 1 filter
Optimized Power Control for Over-the-Air Federated Edge Learning
Xiaowen Cao, Guangxu Zhu, Jie Xu +1
Over-the-air federated edge learning (Air-FEEL) is a communication-efficient solution for privacy-preserving distributed learning over wireless networks. Air-FEEL allows "one-shot"…
Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing
Peiming Li, Lifeng Xie, Jianping Yao +3
Different from public 4G/5G networks that are dominated by downlink traffic, emerging 5G non-public networks (NPNs) need to support significant uplink traffic to enable emerging ap…
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Qingqing Wu, Jie Xu, Yong Zeng +4
Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and…
Over-the-Air Computing for Wireless Data Aggregation in Massive IoT
Guangxu Zhu, Jie Xu, Kaibin Huang +1
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (e.g., sensors and smartphone), is a common operation in 5G-and-beyond machine-type communicat…
Cooperative Interference Management for Over-the-Air Computation Networks
Xiaowen Cao, Guangxu Zhu, Jie Xu +1
This paper considers a multi-cell AirComp network and investigates the optimal power control policies over multiple cells to regulate the effect of inter-cell interference. First,…
A Survey of Prototype and Experiment for UAV Communications
Qingheng Song, Yong Zeng, Jie Xu +1
Unmanned aerial vehicle (UAV) communications have attracted significant attention from both academia and industry. To facilitate the large-scale usage of UAVs for various applicati…
Hybrid Beamforming for Massive MIMO Over-the-Air Computation
Xiongfei Zhai, Xihan Chen, Jie Xu +1
Over-the-air computation (AirComp) has been recognized as a promising technique in Internet-of-Things (IoT) networks for fast data aggregation from a large number of wireless devic…
Time-Division Energy Beamforming for Multiuser Wireless Power Transfer with Non-Linear Energy Harvesting
Ganggang Ma, Jie Xu, Ya-Feng Liu +1
Energy beamforming has emerged as a promising technique for enhancing the energy transfer efficiency of wireless power transfer (WPT). However, the performance of conventional ener…
Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality
Feng Wang, Hong Xing, Jie Xu
This paper considers a wireless powered multiuser mobile edge computing (MEC) system, in which a multi-antenna hybrid access point (AP) wirelessly charges multiple users, and each…
UAV-Enabled Data Collection for Wireless Sensor Networks with Distributed Beamforming
Tianxin Feng, Lifeng Xie, Jianping Yao +1
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless sensor network, in which one UAV flies in the sky to collect the data transmitted from a set of ground nodes (G…
Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming
Tianxin Feng, Lifeng Xie, Jianping Yao +1
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless sensor network, in which one UAV flies in the sky to collect the data transmitted from a set of sensors via dis…
Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems with Joint Transmit and Reflective Beamforming
Hailiang Xie, Jie Xu, Ya-Feng Liu
This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) system with several multi-antenna base stations (BSs) each comm…
Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design
Xiaopeng Mo, Jie Xu
This paper studies a federated edge learning system, in which an edge server coordinates a set of edge devices to train a shared machine learning model based on their locally distr…
D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge
Xiaoran Cai, Xiaopeng Mo, Junyang Chen +1
Mobile edge learning is an emerging technique that enables distributed edge devices to collaborate in training shared machine learning models by exploiting their local data samples…