2.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shuguang Cui5 profiles29 · h 63
- Arnulf Jentzen22 · h 49
- Z. Luo18 · h 89
- Guangxu Zhu5 profiles17 · h 33
- Xiaoguang Han2 profiles15 · h 42
- Hang Li2 profiles13 · h 18
- Tsung-Hui Chang11 · h 45
- Qingjiang Shi3 profiles9 · h 36
- H. Poor2 profiles7 · h 141
- Rui Zhang3 profiles7 · h 137
- Shiyin Li7 · h 21
- Xiaoyang Li2 profiles7 · h 9
- Chinese University of Hong Kong, ShenzhenCN158 papers
- University of MünsterDE21 papers
- Chinese University of Hong KongHK16 papers
- University of Hong KongHK15 papers
- ETH ZurichCH14 papers
- Sun Yat-sen UniversityCN13 papers
- National University of SingaporeSG12 papers
- Peng Cheng LaboratoryCN10 papers
- Princeton UniversityUS10 papers
- Tongji UniversityCN10 papers
- Beijing University of Posts and TelecommunicationsCN9 papers
- Chinese Academy of SciencesCN9 papers
29 papers · 1 filter
MetaCom: Meta Codebook Learning for Robust V2X Semantic Communications
Muge Yu, Danlan Huang, Xinyi Zhou +2
Collaborative perception in Vehicle-to-Everything (V2X) networks faces dual challenges: strictly limited bandwidth and channel impairments. Existing static quantization schemes oft…
Movable Antenna-Aided Near-Field Integrated Sensing and Communication
Jingze Ding, Zijian Zhou, Xiaodan Shao +2
Integrated sensing and communication (ISAC) is emerging as a pivotal technology for next-generation wireless networks. However, existing ISAC systems are based on fixed-position an…
Fast Fractional Programming for Multi-Cell Integrated Sensing and Communications
Yannan Chen, Yi Feng, Xiaoyang Li +2
This paper concerns the coordinate multi-cell beamforming design for integrated sensing and communications (ISAC). In particular, we assume that each base station (BS) has massive…
IRS Aided Millimeter-Wave Sensing and Communication: Beam Scanning, Beam Splitting, and Performance Analysis
Renwang Li, Xiaodan Shao, Shu Sun +2
Integrated sensing and communication (ISAC) has attracted growing interests for enabling the future 6G wireless networks, due to its capability of sharing spectrum and hardware res…
Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks
Shuai Ma, Ruixin Yang, Chun Du +4
Integrated visible light positioning and communication (VLPC), capable of combining advantages of visible light communications (VLC) and visible light positioning (VLP), is a promi…
Mixed Max-and-Min Fractional Programming for Wireless Networks
Yannan Chen, Licheng Zhao, Kaiming Shen
Fractional programming (FP) plays a crucial role in wireless network design because many relevant problems involve maximizing or minimizing ratio terms. Notice that the maximizatio…
Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information
Fan Xu, Jiawei Yao, Wenhai Lai +4
Conventional beamforming methods for intelligent reflecting surfaces (IRSs) or reconfigurable intelligent surfaces (RISs) typically entail the full channel state information (CSI).…
A Linear Time Algorithm for the Optimal Discrete IRS Beamforming
Shuyi Ren, Kaiming Shen, Xin Li +2
It remains an open problem to find the optimal configuration of phase shifts under the discrete constraint for intelligent reflecting surface (IRS) in polynomial time. The above pr…
Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp
Shuai Ma, Ruixin Yang, Bing Li +6
In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that the VLC channel mod…
Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
Peixi Liu, Guangxu Zhu, Shuai Wang +4
In this paper, we address the problem of joint sensing, computation, and communication (SC) resource allocation for federated edge learning (FEEL) via a concrete case study o…
Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs
Ruixin Yang, Shuai Ma, Zihan Xu +6
The bound of the information transmission rate of direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) for visible light communication (VLC) with fin…
Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
Yaowen Zhang, Kaiming Shen, Shuyi Ren +3
This work proposes linear time strategies to optimally configure the phase shifts for the reflective elements of an intelligent reflecting surface (IRS). Specifically, we show that…
Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
Shuyi Ren, Kaiming Shen, Yaowen Zhang +3
This work gives a blind beamforming strategy for intelligent reflecting surface (IRS), aiming to boost the received signal-to-noise ratio (SNR) by coordinating phase shifts across…
Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks
Shuai Ma, Fan Zhang, Songtao Lu +5
In this paper, we investigate the performance of a practical aggregated LiFi-WiFi system with the discrete constellation inputs from a practical view. We derive the achievable rate…
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
Boyu Ning, Zhongbao Tian, Weidong Mei +5
Terahertz (THz) communications with a frequency band THz are envisioned as a promising solution to future high-speed wireless communication. Although with tens of gigahert…
Quantized Federated Learning under Transmission Delay and Outage Constraints
Yanmeng Wang, Yanqing Xu, Qingjiang Shi +1
Federated learning (FL) has been recognized as a viable distributed learning paradigm which trains a machine learning model collaboratively with massive mobile devices in the wirel…
Robust Beamforming Design for Covert Communications
Shuai Ma, Yunqi Zhang, Hang Li +4
In this paper, we consider a common unicast beamforming network where Alice utilizes the communication to Carol as a cover and covertly transmits a message to Bob without being rec…
Learning to Decode Protograph LDPC Codes
Jincheng Dai, Kailin Tan, Zhongwei Si +4
The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear codes. However, the limitation of existing works…
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
Yi Yuan, Gan Zheng, Kai-Kit Wong +2
This paper studies fast adaptive beamforming optimization for the signal-to-interference-plus-noise ratio balancing problem in a multiuser multiple-input single-output downlink sys…
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,…
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Guangxu Zhu, Yuqing Du, Deniz Gunduz +1
Federated edge learning (FEEL) is a popular framework for model training at an edge server using data distributed at edge devices (e.g., smart-phones and sensors) without compromis…
Efficiency Maximization for UAV-Enabled Mobile Relaying Systems with Laser Charging
Ming-Min Zhao, Qingjiang Shi, Min-Jian Zhao
This work studies the joint problem of power and trajectory optimization in an unmanned aerial vehicle (UAV)-enabled mobile relaying system. In the considered system, in order to p…
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis
Zhaorui Wang, Liang Liu, Shuguang Cui
In intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information (CSI) is a crucial impediment for achieving the beamforming gai…
Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems
Feng Wang, Jie Xu, Shuguang Cui
This paper studies a wireless powered mobile edge computing (MEC) system with fluctuating channels and dynamic task arrivals over time. We jointly optimize the transmission energy…