1k citations · 1.4k across the 38 of their papers we have counts for
39 papers
Capacity Analysis and Throughput Maximization of NOMA with Nonlinear Power Amplifier Distortion
Xiaojia Wang, Suzhi Bi, Xian Li +3
In future B5G/6G broadband communication systems, non-linear signal distortion caused by the impairment of transmit power amplifier (PA) can severely degrade the communication perf…
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Hang Liu, Jia Yan, Ying-Jun Angela Zhang
Federated learning (FL) enables edge devices to collaboratively train machine learning models, with model communication replacing direct data uploading. While over-the-air model ag…
Deployment Optimization of Dual-functional UAVs for Integrated Localization and Communication
Zheyuan Yang, Suzhi Bi, Ying-Jun Angela Zhang
In emergency scenarios, unmanned aerial vehicles (UAVs) can be deployed to assist localization and communication services for ground terminals. In this paper, we propose a new inte…
CFLIT: Coexisting Federated Learning and Information Transfer
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
Future wireless networks are expected to support diverse mobile services, including artificial intelligence (AI) services and ubiquitous data transmissions. Federated learning (FL)…
RIS Partitioning Based Scalable Beamforming Design for Large-Scale MIMO: Asymptotic Analysis and Optimization
Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang
In next-generation wireless networks, reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems are foreseeable to support a large number of a…
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Hang Liu, Zehong Lin, Xiaojun Yuan +1
Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a m…
Relay-Assisted Cooperative Federated Learning
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
Federated learning (FL) has recently emerged as a promising technology to enable artificial intelligence (AI) at the network edge, where distributed mobile devices collaboratively…
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
Device-edge co-inference opens up new possibilities for resource-constrained wireless devices (WDs) to execute deep neural network (DNN)-based applications with heavy computation w…
Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility
Zheyuan Yang, Suzhi Bi, Ying-Jun Angela Zhang
In this paper, we consider a UAV-enabled MEC platform that serves multiple mobile ground users with random movements and task arrivals. We aim to minimize the average weighted ener…
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Xian Li, Liang Huang, Hui Wang +2
Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly prosperous delay-sensitive and computation-intensive applications in 5G systems. To achieve opti…
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system. We introduce a Markovian probability model to characterize the intrinsic te…
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
Zhen-Qing He, Hang Liu, Xiaojun Yuan +2
Reconfigurable intelligent surface (RIS) is envisioned to be a promising green technology to reduce the energy consumption and improve the coverage and spectral efficiency of massi…
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
Suzhi Bi, Liang Huang, Hui Wang +1
In this paper, we consider a multi-user mobile-edge computing (MEC) network with time-varying wireless channels and stochastic user task data arrivals in sequential time frames. In…
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
We study over-the-air model aggregation in federated edge learning (FEEL) systems, where channel state information at the transmitters (CSIT) is assumed to be unavailable. We lever…
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption
Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang
Distribution grid agents are obliged to exchange and disclose their states explicitly to neighboring regions to enable distributed optimal power flow dispatch. However, the states…
Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs
Yuan Zheng, Suzhi Bi, Ying-Jun Angela Zhang +2
Intelligent reflecting surface (IRS) is an emerging technology to enhance the energy- and spectrum-efficiency of wireless powered communication networks (WPCNs). In this paper, we…
Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing
Jia Yan, Suzhi Bi, Lingjie Duan +1
Provided with mobile edge computing (MEC) services, wireless devices (WDs) no longer have to experience long latency in running their desired programs locally, but can pay to offlo…
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
To exploit massive amounts of data generated at mobile edge networks, federated learning (FL) has been proposed as an attractive substitute for centralized machine learning (ML). B…
Optimizing AI Service Placement and Resource Allocation in Mobile Edge Intelligence Systems
Zehong Lin, Suzhi Bi, Ying-Jun Angela Zhang
Leveraging recent advances on mobile edge computing (MEC), edge intelligence has emerged as a promising paradigm to support mobile artificial intelligence (AI) applications at the…
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
Suzhi Bi, Liang Huang, Hui Wang +1
Opportunistic computation offloading is an effective method to improve the computation performance of mobile-edge computing (MEC) networks under dynamic edge environment. In this p…
Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs
Yuan Zheng, Suzhi Bi, Ying-Jun Angela Zhang +1
Intelligent reflecting surface (IRS) can effectively enhance the energy and spectral efficiency of wireless communication system through the use of a large number of lowcost passiv…
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
Reconfigurable intelligent surface (RIS) is envisioned to be an essential component of the paradigm for beyond 5G networks as it can potentially provide similar or higher array gai…
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems
Suzhi Bi, Liang Huang, Ying-Jun Angela Zhang
In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the necessary programs for executing computation tasks at MEC servers. At resource-constrained ed…
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief, Wei Chen, Yuanming Shi +2
The recent upsurge of diversified mobile applications, especially those supported by Artificial Intelligence (AI), is spurring heated discussions on the future evolution of wireles…