no code implementations • 15 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.
no code implementations • 31 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.
no code implementations • 21 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.
no code implementations • 9 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).
no code implementations • 25 Feb 2022 • Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab, Yonghui Li, Sarah Johnson
This paper studies the joint channel estimation and signal detection for the uplink power domain non-orthogonal multiple access.
no code implementations • 26 Sep 2021 • Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
In the literature of transmission scheduling in wireless networked control systems (WNCSs) over shared wireless resources, most research works have focused on partially distributed settings, i. e., where either the controller and actuator, or the sensor and controller are co-located.
no code implementations • 26 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.
no code implementations • 23 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.
no code implementations • 5 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).
no code implementations • 9 Apr 2021 • Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson, Branka Vucetic, Yonghui Li
We consider remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels.
no code implementations • 29 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.
no code implementations • 17 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
no code implementations • 13 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.
no code implementations • 14 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.
no code implementations • 27 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.
no code implementations • 6 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
no code implementations • 23 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".
no code implementations • 16 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.
no code implementations • 5 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.
no code implementations • 29 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.
no code implementations • 22 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.
no code implementations • 27 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.
no code implementations • 21 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.
no code implementations • 30 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.