Search Results for author: Yonghui Li

Found 34 papers, 0 papers with code

Hybrid NOMA assisted Integrated Sensing and Communication via RIS

no code implementations12 Sep 2023 Wanting Lyu, Yue Xiu, Xinyang Li, Songjie Yang, Phee Lep Yeoh, Yonghui Li, Zhongpei Zhang

Furthermore, the trade-off between sensing and communication is analyzed and demonstrated in the simulation results.

Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach

no code implementations23 May 2023 Jiazheng Chen, Wanchun Liu, Daniel Quevedo, Yonghui Li, Branka Vucetic

For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee application-level performance, not merely focus on communication-centric performance.

Decision Making reinforcement-learning +1

Structure-Enhanced DRL for Optimal Transmission Scheduling

no code implementations24 Dec 2022 Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic

In addition, we show that the derived structural properties exist in a wide range of dynamic scheduling problems that go beyond remote state estimation.


A Scalable Graph Neural Network Decoder for Short Block Codes

no code implementations13 Nov 2022 Kou Tian, Chentao Yue, Changyang She, Yonghui Li, Branka Vucetic

In this work, we propose a novel decoding algorithm for short block codes based on an edge-weighted graph neural network (EW-GNN).

Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks

no code implementations8 Oct 2022 Dawei Gao, Qinghua Guo, Guisheng Liao, Yonina C. Eldar, Yonghui Li, Yanguang Yu, Branka Vucetic

Modelling the MIMO system with NN enables the design of NN architectures based on the signal flow of the MIMO system, minimizing the number of NN layers and parameters, which is crucial to achieving efficient training with limited pilot signals.

Bayesian Inference

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach

no code implementations3 Oct 2022 Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic

Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost deployment of control systems in the Industry 4. 0 era.


Unitary Approximate Message Passing for Matrix Factorization

no code implementations31 Jul 2022 Zhengdao Yuan, Qinghua Guo, Yonina C. Eldar, Yonghui Li

We consider matrix factorization (MF) with certain constraints, which finds wide applications in various areas.

Compressive Sensing Dictionary Learning +1

Reconfigurable Intelligent Surface-aided $M$-ary FM-DCSK System: a New Design for Noncoherent Chaos-based Communication

no code implementations16 Jun 2022 Huan Ma, Yi Fang, Pingping Chen, Yonghui Li

In this paper, we propose two reconfigurable intelligent surface-aided $M$-ary frequency-modulated differential chaos shift keying (RIS-$M$-FM-DCSK) schemes.

DRL-based Resource Allocation in Remote State Estimation

no code implementations24 May 2022 Gaoyang Pang, Wanchun Liu, Yonghui Li, Branka Vucetic

Existing algorithms on dynamic radio resource allocation for remote estimation systems assumed oversimplified wireless communications models and can only work for small-scale settings.

Decision Making

Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network

no code implementations15 Apr 2022 Han Meng, Yuexing Peng, Wenbo Wang, Peng Cheng, Yonghui Li, Wei Xiang

This paper proposes a knowledge-and-data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network.

Graph Attention

Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels

no code implementations31 Mar 2022 Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li

In particular, we show that, from a system stability perspective, fast fading channels may be preferable to slow fading ones.

Proximal Policy Optimization-based Transmit Beamforming and Phase-shift Design in an IRS-aided ISAC System for the THz Band

no code implementations21 Mar 2022 Xiangnan Liu, Haijun Zhang, Keping Long, Mingyu Zhou, Yonghui Li, H. Vincent Poor

Then the joint optimization of transmit beamforming and phase-shift design is achieved by gradient-based, primal-dual proximal policy optimization (PPO) in the multi-user multiple-input single-output (MISO) scenario.

Weighted Sum Age of Information Minimization in Wireless Networks with Aerial IRS

no code implementations9 Mar 2022 Wanting Lyu, Yue Xiu, Songjie Yang, Phee Lep Yeoh, Yonghui Li

In this letter, we analyze a terrestrial wireless communication network assisted by an aerial intelligent reflecting surface (IRS).


Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control

no code implementations26 Sep 2021 Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li

We consider a joint uplink and downlink scheduling problem of a fully distributed wireless networked control system (WNCS) with a limited number of frequency channels.

reinforcement-learning Reinforcement Learning (RL) +1

Learning-based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks

no code implementations26 Aug 2021 Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li

Specifically, the convolution and LSTM modules are successively adopted in the proposed HCL-Net to exploit the spatial and temporal dependencies of communication channels to further improve the learning performance.

Elevation Angle-Dependent 3D Trajectory Design for Aerial RIS-aided Communication

no code implementations23 Aug 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Jun Li, Yonghui Li

This paper investigates an aerial reconfigurable intelligent surface (RIS)-aided communication system under the probabilistic line-of-sight (LoS) channel, where an unmanned aerial vehicle (UAV) equipped with an RIS is deployed to assist two ground nodes in their information exchange.


Full-Dimensional Rate Enhancement for UAV-Enabled Communications via Intelligent Omni-Surface

no code implementations5 Jun 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Yonghui Li

This paper investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS).

Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels

no code implementations9 Apr 2021 Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson, Branka Vucetic, Yonghui Li

We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels.


A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis

no code implementations29 Mar 2021 Huan Ma, Yi Fang, Guofa Cai, Guojun Han, Yonghui Li

To further improve the system flexibility, we formulate a generalized modulation scheme and propose scheme II by treating the SFB groups as an additional type of transmission entity.

Catalytically Potent and Selective Clusterzymes for Modulation of Neuroinflammation Through Single-Atom Substitutions

no code implementations17 Dec 2020 Haile Liu, Yonghui Li, Si Sun, Qi Xin, Shuhu Liu, Xiaoyu Mu, Xun Yuan, Ke Chen, Hao Wang, Kalman Varga, Wenbo Mi, Jiang Yang, Xiao-Dong Zhang

Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts.

Biological Physics Medical Physics

A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning

no code implementations13 Sep 2020 Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, Branka Vucetic

As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will be central for the development of various emerging mission-critical applications.

Decision Making Decision Making Under Uncertainty

Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks

no code implementations14 Aug 2020 Zijie Ji, Phee Lep Yeoh, Deyou Zhang, Gaojie Chen, Yan Zhang, Zunwen He, Hao Yin, Yonghui Li

We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks.

Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles

no code implementations27 Jul 2020 Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li, Branka Vucetic

We develop a novel hybrid-cascaded deep neural network (DNN) architecture such that the entire system can be optimized in a holistic manner.

Multi-Task Learning

Optimizing Information Freshness in Two-Hop Status Update Systems under a Resource Constraint

no code implementations6 Jul 2020 Yifan Gu, Qian Wang, He Chen, Yonghui Li, Branka Vucetic

We derive approximate closed-form expressions of the average AoI at the destination, and the average number of forwarding operations at the relay for the DTR policy, by modelling the tangled evolution of age at relay and destination as a Markov chain (MC).

Information Theory Networking and Internet Architecture Signal Processing Information Theory

Physical Layer Authentication for Non-Coherent Massive SIMO-Enabled Industrial IoT Communications

no code implementations23 May 2020 Zhifang Gu, He Chen, Pingping Xu, Yonghui Li, Branka Vucetic

This method realizes PLA by embedding an authentication signal (tag) into a message signal, referred to as "message-based tag embedding".


Remote State Estimation with Smart Sensors over Markov Fading Channels

no code implementations16 May 2020 Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic

A smart sensor forwards its local state estimate to a remote estimator over a time-correlated $M$-state Markov fading channel, where the packet drop probability is time-varying and depends on the current fading channel state.

Reconfigurable Intelligent Surface (RIS)-Enhanced Two-Way OFDM Communications

no code implementations5 May 2020 Chandan Pradhan, Ang Li, Lingyang Song, Jun Li, Branka Vucetic, Yonghui Li

In this paper, we focus on the reconfigurable intelligent surface (RIS)-enhanced two-way device-to-device (D2D) multi-pair orthogonal-frequency-division-multiplexing (OFDM) communication systems.

Vocal Bursts Valence Prediction

Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G

no code implementations29 Mar 2020 Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic

To accommodate diverse Quality-of-Service (QoS) requirements in the 5th generation cellular networks, base stations need real-time optimization of radio resources in time-varying network conditions.

Quantization Transfer Learning

Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

no code implementations22 Feb 2020 Changyang She, Rui Dong, Zhouyou Gu, Zhanwei Hou, Yonghui Li, Wibowo Hardjawana, Chenyang Yang, Lingyang Song, Branka Vucetic

In this article, we first summarize how to apply data-driven supervised deep learning and deep reinforcement learning in URLLC, and discuss some open problems of these methods.

Edge-computing Federated Learning +1

Crowd Scene Analysis by Output Encoding

no code implementations27 Jan 2020 Yao Xue, Siming Liu, Yonghui Li, Xueming Qian

In addition, proper receptive field sizes are crucial for crowd analysis due to human size variations.


A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels

no code implementations21 Jul 2019 Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic

Then, based on a novel normalized power level alignment metric, we propose two prediction-transmission structures, namely periodic and non-periodic, for spectrum access (the second part in Stage II), which enable the secondary transmitter (ST) to closely follow the PT power level variation.

Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin

no code implementations30 Jun 2019 Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic

We propose a deep learning (DL) architecture, where a digital twin of the real network environment is used to train the DL algorithm off-line at a central server.

Edge-computing Management

Cannot find the paper you are looking for? You can Submit a new open access paper.