654 citations · 1.5k across the 55 of their papers we have counts for
26 papers · 1 filter
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…
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…
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…
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…
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…
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…
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal multiple access (NOMA) into an on-demand universal framework, this paper proposes a novel rec…
Federated Learning for 6G: Applications, Challenges, and Opportunities
Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong +2
Traditional machine learning is centralized in the cloud (data centers). Recently, the security concern and the availability of abundant data and computation resources in wireless…
Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
Yihan Cang, Ming Chen, Zhaohui Yang +2
In this paper, the optimization of deploying unmanned aerial vehicles (UAVs) over a reconfigurable intelligent surfaces (RISs)-assisted visible light communication (VLC) system is…
Joint Channel Estimation and Signal Recovery in RIS-Assisted Multi-User MISO Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos +3
Reconfigurable Intelligent Surfaces (RISs) have been recently considered as an energy-efficient solution for future wireless networks. Their dynamic and low-power configuration ena…
Joint Location, Bandwidth and Power Optimization for THz-enabled UAV Communications
Luyao Xu, Ming Chen, Mingzhe Chen +4
In this paper, the problem of unmanned aerial vehicle (UAV) deployment, power allocation, and bandwidth allocation is investigated for a UAV-assisted wireless system operating at t…
Federated Learning in Multi-RIS Aided Systems
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
This paper investigates the problem of model aggregation in federated learning systems aided by multiple reconfigurable intelligent surfaces (RISs). The effective integration of co…
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
In this paper, the problem of energy efficient transmission and computation resource allocation for federated learning (FL) over wireless communication networks is investigated. In…
Efficient Resource Allocation for Mobile-Edge Computing Networks with NOMA: Completion Time and Energy Minimization
Zhaohui Yang, Cunhua Pan, Jiancao Hou +1
This paper investigates an uplink non-orthogonal multiple access (NOMA)-based mobile-edge computing (MEC) network. Our objective is to minimize a linear combination of the completi…
Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
In this paper, the problem of maximizing the wireless users' sum-rate for uplink rate splitting multiple access (RSMA) communications is studied. In the considered model, each user…
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
Zhaohui Yang, Cunhua Pan, Kezhi Wang +1
In this paper, we consider the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation and location planning in a mob…
Resource Allocation in Full-Duplex Mobile-Edge Computing Systems with NOMA and Energy Harvesting
Zhaohui Yang, Jiancao Hou, Mohammad Shikh-Bahaei
This paper considers a full-duplex (FD) mobile-edge computing (MEC) system with non-orthogonal multiple access (NOMA) and energy harvesting (EH), where one group of users simultane…