654 citations · 1.5k across the 55 of their papers we have counts for
55 papers
Imperfect CSI: A Key Factor of Uncertainty to Over-the-Air Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Over-the-air computation (AirComp) has recently been identified as a prominent technique to enhance communication efficiency of wireless federated learning (FL). This letter invest…
Sum-Rate Maximization for Active RIS-Aided Downlink RSMA System
Xinhao Li, Tao Wang, Haonan Tong +3
In this paper, the problem of sum-rate maximization for an active reconfigurable intelligent surface (RIS) assisted downlink rate-splitting multiple access (RSMA) transmission syst…
Energy Efficient Semantic Communication over Wireless Networks with Rate Splitting
Zhaohui Yang, Mingzhe Chen, Zhaoyang Zhang +1
In this paper, the problem of wireless resource allocation and semantic information extraction for energy efficient semantic communications over wireless networks with rate splitti…
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding, Zhaohui Yang, Quoc-Viet Pham +2
Unmanned aerial vehicle (UAV) swarms are considered as a promising technique for next-generation communication networks due to their flexibility, mobility, low cost, and the abilit…
Resource Allocation for Capacity Optimization in Joint Source-Channel Coding Systems
Kaiyi Chi, Qianqian Yang, Zhaohui Yang +2
Benefited from the advances of deep learning (DL) techniques, deep joint source-channel coding (JSCC) has shown its great potential to improve the performance of wireless transmiss…
Over-the-Air Split Learning with MIMO-Based Neural Network and Constellation-Based Activation
Yuzhi Yang, Zhaoyang Zhang, Zhaohui Yang
This paper investigates a communication-efficient split learning (SL) over multiple-input multiple-output (MIMO) communication system. In particular, we mathematically decompose th…
Over-the-Air Split Machine Learning in Wireless MIMO Networks
Yuzhi Yang, Zhaoyang Zhang, Yuqing Tian +4
In split machine learning (ML), different partitions of a neural network (NN) are executed by different computing nodes, requiring a large amount of communication cost. To ease com…
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
Nima Tavangaran, Mingzhe Chen, Zhaohui Yang +2
In this work, we consider a federated learning model in a wireless system with multiple base stations and inter-cell interference. We apply a differential private scheme to transmi…
Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks
Songling Zhang, Zhaohui Yang, Mingzhe Chen +3
In this paper, the problem of maximizing the sum of data rates of all users in an intelligent reflecting surface (IRS)-assisted millimeter wave multicast multiple-input multiple-ou…
Multiple RISs Assisted Cell-Free Networks With Two-timescale CSI: Performance Analysis and System Design
Xu Gan, Caijun Zhong, Chongwen Huang +2
Reconfigurable intelligent surface (RIS) can be employed in a cell-free system to create favorable propagation conditions from base stations (BSs) to users via configurable element…
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
Kangchun Zhao, Yijie Mao, Zhaohui Yang +2
Cooperative rate splitting (CRS), built upon rate splitting multiple access (RSMA) and opportunistic user relaying, has been recognized as a promising transmission strategy to enha…
Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach
Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen +2
Obtaining accurate channel state information (CSI) is crucial and challenging for multiple-input multiple-output (MIMO) wireless communication systems. Conventional channel estimat…
Environment Sensing Considering the Occlusion Effect: A Multi-View Approach
Xin Tong, Zhaoyang Zhang, Yihan Zhang +4
In this paper, we consider the problem of sensing the environment within a wireless cellular framework. Specifically, multiple user equipments (UEs) send sounding signals to one or…
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng +3
To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning. Specifical…
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
Wen Wang, Wanli Ni, Hui Tian +3
This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In…
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang, Shiyao Ma, Zhaohui Yang +5
Air access networks have been recognized as a significant driver of various Internet of Things (IoT) services and applications. In particular, the aerial computing network infrastr…
Unsourced Random Massive Access with Beam-Space Tree Decoding
Jingze Che, Zhaoyang Zhang, Zhaohui Yang +3
The core requirement of massive Machine-Type Communication (mMTC) is to support reliable and fast access for an enormous number of machine-type devices (MTDs). In many practical ap…
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
Yuqing Tian, Zhaoyang Zhang, Zhaohui Yang +1
The main challenge to deploy deep neural network (DNN) over a mobile edge network is how to split the DNN model so as to match the network architecture as well as all the nodes' co…
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang, Ye Hu, Zhaohui Yang +3
With the continuous trend of data explosion, delivering packets from data servers to end users causes increased stress on both the fronthaul and backhaul traffic of mobile networks…
Joint Channel Estimation and Signal Recovery for RIS-Empowered Multi-User Communications
Li Wei, Chongwen Huang, Qinghua Guo +5
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and lowp…
STAR-RIS Integrated Non-Orthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization
Wanli Ni, Yuanwei Liu, Yonina C. Eldar +2
This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting…
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks with NOMA
Zhiyang Li, Ming Chen, Zhaohui Yang +4
Reconfigurable intelligent surface (RIS) has emerged as a promising technology for achieving high spectrum and energy efficiency in future wireless communication networks. In this…
Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation
Chunmei Xu, Shengheng Liu, Zhaohui Yang +2
Federated learning (FL) as a promising edge-learning framework can effectively address the latency and privacy issues by featuring distributed learning at the devices and model agg…
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems
Sihua Wang, Mingzhe Chen, Zhaohui Yang +4
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied. In the considered…