activity
20202026
most citedThroughput Maximization for UAV-enabled Integrated Periodic Sensing and Communication

301 citations · 331 across the 38 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.IT2023

Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI

Xusheng Zhu, Wen Chen, Qingqing Wu +4

In this paper, we investigate the performance of reconfigurable intelligent surface (RIS)-aided spatial shift keying (SSK) wireless communication systems with imperfect channel sta…

cs.LG2023★ 1 cited

Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding

Jixuan Cui, Jun Li, Zhen Mei +5

Deep learning-based fault diagnosis (FD) approaches require a large amount of training data, which are difficult to obtain since they are located across different entities. Federat…

cs.IT2023

Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Xusheng Zhu, Wen Chen, Qingqing Wu +4

In this paper, we investigate a practical structure of reconfigurable intelligent surface (RIS)-based double spatial scattering modulation (DSSM) for millimeter-wave (mmWave) multi…

cs.IT2023★ 1 cited

Intelligent Reflecting Surface Aided MIMO Networks: Distributed or Centralized Architecture?

Guangji Chen, Qingqing Wu, Wen Chen +4

We investigate the capacity of a broadcast channel with a multi-antenna base station (BS) sending independent messages to multiple users, aided by IRSs with N elements. In particul…

cs.IT2023

On the Performance of RIS-Aided Spatial Scattering Modulation for mmWave Transmission

Xusheng Zhu, Wen Chen, Zhendong Li +4

In this paper, we investigate a state-of-the-art reconfigurable intelligent surface (RIS)-assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) systems,…

cs.LG2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

Xuefeng Han, Jun Li, Wen Chen +4

With the rapid proliferation of smart mobile devices, federated learning (FL) has been widely considered for application in wireless networks for distributed model training. Howeve…

cs.IT2023

Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for TDD MultiUser MIMO Systems

Fengyu Zhao, Wen Chen, Ziwei Liu +2

In this letter, we investigate the discrete phase shift design of the intelligent reflecting surface (IRS) in a time division duplexing (TDD) multi-user multiple input multiple out…

cs.IT2023

Performance of RIS-Assisted Full-Duplex Space Shift Keying With Imperfect Self-Interference Cancellation

Xusheng Zhu, Wen Chen, Qingqing Wu +2

In this paper, we consider a full-duplex (FD) space shift keying (SSK) communication system, where information exchange between two users is assisted only by a reconfigurable intel…

cs.IT2023

RIS-Aided Spatial Scattering Modulation for mmWave MIMO Transmissions

Xusheng Zhu, Wen Chen, Zhendong Li +4

This paper investigates the reconfigurable intelligent surface (RIS) assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) multiple-input multiple-output…

cs.DC2023

Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning

Kecheng Fan, Wen Chen, Jun Li +3

As an efficient distributed machine learning approach, Federated learning (FL) can obtain a shared model by iterative local model training at the user side and global model aggrega…

cs.PF2023

Reconfigurable Intelligent Surface Assisted Free Space Optical Information and Power Transfer

Wen Fang, Wen Chen, Qingqing Wu +4

Free space optical (FSO) transmission has emerged as a key candidate technology for 6G to expand new spectrum and improve network capacity due to its advantages of large bandwidth,…

eess.SP2023

Collaborative Multi-BS Power Management for Dense Radio Access Network using Deep Reinforcement Learning

Yuchao Chang, Wen Chen, Jun Li +4

Network energy efficiency is a main pillar in the design and operation of wireless communication systems. In this paper, we investigate a dense radio access network (dense-RAN) cap…

cs.GT2023★ 2 cited

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning

Shunfeng Chu, Jun Li, Kang Wei +4

Hierarchical Federated Learning (HFL) is a distributed machine learning paradigm tailored for multi-tiered computation architectures, which supports massive access of devices' mode…

cs.IT2023

Quadrature Spatial Scattering Modulation for mmWave Transmission

Xusheng Zhu, Wen Chen, Zhendong Li +2

In this letter, we investigate a novel quadrature spatial scattering modulation (QSSM) transmission technique based on millimeter wave (mmWave) systems, in which the transmitter ge…