no code implementations • 4 Nov 2022 • Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin
The explosive growth of dynamic and heterogeneous data traffic brings great challenges for 5G and beyond mobile networks.
no code implementations • 31 Oct 2022 • Yiming Cui, Jiajia Guo, Zheng Cao, Huaze Tang, Chao-Kai Wen, Shi Jin
Then, given the more limited computational power at the user equipment, an encoder distillation method is proposed where distillation is only performed to student encoder at the user equipment and the teacher decoder is directly used at the base stataion.
no code implementations • 25 Oct 2022 • Zhangjie Peng, Tianshu Li, Cunhua Pan, Xianfu Lei, Shi Jin
This paper considers an active reconfigurable intelligent surface (RIS)-aided communication system, where an M-antenna base station (BS) transmits data symbols to a single-antenna user via an N-element active RIS.
no code implementations • 2 Oct 2022 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Therefore, the novel semantic-based coding methods and performance metrics have been investigated and the designed semantic systems consist of various modules as in the conventional communications but with improved functions.
no code implementations • 31 Aug 2022 • Chengleyang Lei, Wei Feng, Jue Wang, Shi Jin, Ning Ge
This letter presents a sensing-communication-computing-control (SC3) integrated satellite unmanned aerial vehicle (UAV) network, where the UAV is equipped with on-board sensors, mobile edge computing (MEC) servers, base stations and satellite communication module.
no code implementations • 24 Aug 2022 • Yijin Pan, Cunhua Pan, Shi Jin, Jiangzhou Wang
This makes localization and channel estimation in the near field of the RIS-aided subTHz system more challenging.
no code implementations • 30 Jun 2022 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Xiao Li
This article provides a guideline for the standardization study of AI-based CSI feedback enhancement.
no code implementations • 29 Jun 2022 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the transmitter (base station), which is usually obtained by estimating at the receiver (user terminal) and feeding back to the transmitter.
no code implementations • 16 Jun 2022 • Han Xiao, Zhiqin Wang, Dexin Li, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang
This paper is based on the background of the 2nd Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AIWork Group, where the framework of the eigenvector-based channel state information (CSI) feedback problem is firstly provided.
no code implementations • 11 Jun 2022 • Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
The mechanism behind ACMP is phase transition of particles which enables the formation of multi-clusters and thus GNNs prediction for node classification.
no code implementations • 17 May 2022 • Zhuoyin Dai, Ruoguang Li, Jingran Xu, Yong Zeng, Shi Jin
We first derive the achievable communication rates of the active primary user and passive secondary user under the assumption of perfect channel state information (CSI), based on which the transmit beamforming of the cellfree APs is optimized to characterize the achievable rate-region of cell-free symbiotic communication systems.
no code implementations • 27 Apr 2022 • Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Shi Jin, Shuangfeng Han
One efficient CSI feedback method is the Auto-Encoder (AE) structure based on deep learning, yet facing problems in actual deployments, such as selecting the deployment mode when deploying in a cell with multiple complex scenarios.
no code implementations • 16 Apr 2022 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
In this paper, we initially establish a basal semantic video conferencing (SVC) network, which dramatically reduces transmission resources while only losing detailed expressions.
no code implementations • 26 Mar 2022 • Jie Zhang, Jun Li, Yijin Zhang, Qingqing Wu, Xiongwei Wu, Feng Shu, Shi Jin, Wen Chen
Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
no code implementations • 27 Jan 2022 • Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.
no code implementations • 9 Dec 2021 • Boyu Teng, Xiaojun Yuan, Rui Wang, Shi Jin
In this paper, we study the user localization and tracking problem in the reconfigurable intelligent surface (RIS) aided multiple-input multiple-output (MIMO) system, where a multi-antenna base station (BS) and multiple RISs are deployed to assist the localization and tracking of a multi-antenna user.
no code implementations • 20 Jun 2021 • Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach.
no code implementations • 12 Jun 2021 • Han Xiao, Zhiqin Wang, Wenqiang Tian, Xiaofeng Liu, Wendong Liu, Shi Jin, Jia Shen, Zhi Zhang, Ning Yang
In this paper, we give a systematic description of the 1st Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AI Work Group.
no code implementations • 6 Jun 2021 • Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Even if semantic communication has been successfully applied in the sentence transmission to reduce semantic errors, existing architecture is usually fixed in the codeword length and is inefficient and inflexible for the varying sentence length.
no code implementations • 21 May 2021 • Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang
By using environment information, the NNs can achieve a more refined mapping between the precoding matrix and the PMI compared with codebooks.
no code implementations • 28 Apr 2021 • Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Channel estimation in wideband millimeter-wave (mmWave) systems is very challenging due to the beam squint effect.
no code implementations • 15 Mar 2021 • Wan-Ting Shih, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin
In this method, only one antenna module is used for the reception to predict the best beam of other antenna modules.
no code implementations • 5 Mar 2021 • Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Shi Jin, Qiang Cheng, Geoffrey Ye Li, Tie Jun Cui
Channel reciprocity greatly facilitates downlink precoding in time-division duplexing (TDD) multiple-input multiple-output (MIMO) communications without the need for channel state information (CSI) feedback.
Information Theory Information Theory
no code implementations • 19 Feb 2021 • Di wu, Yong Zeng, Shi Jin, Rui Zhang
Two instances of CKM are proposed for beam alignment in mmWave massive MIMO systems, namely channel path map (CPM) and beam index map (BIM).
no code implementations • 1 Feb 2021 • Qisheng Wang, Xiao Li, Shi Jin, Yijiain Chen
In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) system.
no code implementations • 21 Jan 2021 • Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Shi Jin, Qiang Cheng, Tie Jun Cui
The refined model gives more accurate estimates of the path loss of RISs comprised of unit cells with a deep sub-wavelength size.
no code implementations • 12 Jan 2021 • Jiajia Guo, Chao-Kai Wen, Shi Jin
The user equipment in the latter one directly feeds back the received pilot signals to the base station.
1 code implementation • 12 Jan 2021 • Chang-Jen Wang, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin, Geoffrey Ye Li
In particular, we introduce a hypernetwork to generate the damping factors for GEC-SR.
1 code implementation • 12 Dec 2020 • Zijian Kuang, Xinran Tie, Lihang Ying, Shi Jin
In this paper, we overcome these challenges and design a three-stage plug-and-play fully automated unsupervised 360-degree defect detection system.
no code implementations • 8 Dec 2020 • Jing Zhang, Yunfeng He, Yu-Wen Li, Chao-Kai Wen, Shi Jin
An unfolded turbo decoding module, called TurboNet, is used for channel decoding.
no code implementations • 3 Dec 2020 • Weicong Chen, Xi Yang, Shi Jin, Pingping Xu
An approximated ergodic spectral efficiency of the SAoS aided system is derived and the performance impact of the SAoS design is evaluated.
Information Theory Information Theory
no code implementations • 29 Oct 2020 • Wei Chen, BoWen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong
Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications.
no code implementations • 4 Oct 2020 • Shi Jin, Lei LI, Zhenli Xu, Yue Zhao
We develop a random batch Ewald (RBE) method for molecular dynamics simulations of particle systems with long-range Coulomb interactions, which achieves an $O(N)$ complexity in each step of simulating the $N$-body systems.
Computational Physics 65C35, 82M37, 65T50
no code implementations • 28 Sep 2020 • Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao
As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation mobile communication systems have been conducted.
1 code implementation • 1 Sep 2020 • Shi Jin, Kenneth J. Roche, Ionel Stetcu, Ibrahim Abdurrahman, Aurel Bulgac
Nuclear implementation of the density functional theory (DFT) is at present the only microscopic framework applicable to the whole nuclear landscape.
Nuclear Theory
no code implementations • 19 Aug 2020 • Lingyun Zhou, Xihan Chen, Mingyi Hong, Shi Jin, Qingjiang Shi
Unmanned aerial vehicle (UAV) swarm has emerged as a promising novel paradigm to achieve better coverage and higher capacity for future wireless network by exploiting the more favorable line-of-sight (LoS) propagation.
no code implementations • 27 Jul 2020 • Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang
Specifically, we aim to maximize the worst-case signal-to-noise ratio (SNR) over all locations in a target area by jointly optimizing the transmit beamforming for the source node and the placement as well as 3D passive beamforming for the AIRS.
no code implementations • 30 Jun 2020 • Hengtao He, Rui Wang, Weijie Jin, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
By utilizing the Stein's unbiased risk estimator loss, the LDGEC network can be trained only with limited measurements corresponding to the pilot symbols, instead of the real channel data.
no code implementations • 27 Jun 2020 • Yunfeng He, Hengtao, He, Chao-Kai Wen, Shi Jin
Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption.
no code implementations • 16 Jun 2020 • Yunfeng He, Jing Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
The TurboNet inherits the superiority of the max-log-MAP algorithm and DL tools and thus presents excellent error-correction capability with low training cost.
no code implementations • 21 May 2020 • Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang
Recent years have witnessed the rapid proliferation of backscatter technologies that realize the ubiquitous and long-term connectivity to empower smart cities and smart homes.
no code implementations • 9 May 2020 • Weicong Chen, Lin Bai, Wankai Tang, Shi Jin, Wei Xiang Jiang, Tie Jun Cui
The existing phase shifter models adopted for reconfigurable intelligent surfaces (RISs) have ignored the electromagnetic (EM) waves propagation behavior, thus cannot reveal practical effects of RIS on wireless communication systems.
no code implementations • 4 May 2020 • Ning Gao, Yong Zeng, Jian Wang, Di wu, Chaoyue Zhang, Qingheng Song, Jiachen Qian, Shi Jin
In this paper, via extensive flight experiments, we aim to firstly validate the recently derived theoretical energy model for rotary-wing UAVs, and then develop a general model for those complicated flight scenarios where rigorous theoretical model derivation is quite challenging, if not impossible.
no code implementations • 1 May 2020 • Zheng Cao, Wan-Ting Shih, Jiajia Guo, Chao-Kai Wen, Shi Jin
We develop a DL based CSI feedback network in this study to complete the feedback of CSI effectively.
Information Theory Signal Processing Information Theory
1 code implementation • 17 Mar 2020 • Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future.
no code implementations • 6 Mar 2020 • Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
In this paper, the correlation between nearby user equipment (UE) is exploited, and a deep learning-based channel state information (CSI) feedback and cooperative recovery framework, CoCsiNet, is developed to reduce feedback overhead.
Information Theory Signal Processing Information Theory
no code implementations • 20 Dec 2019 • Wankai Tang, Jun Yan Dai, Ming Zheng Chen, Kai-Kit Wong, Xiao Li, Xinsheng Zhao, Shi Jin, Qiang Cheng, Tie Jun Cui
Reconfigurable intelligent surface (RIS) is a new paradigm that has great potential to achieve cost-effective, energy-efficient information modulation for wireless transmission, by the ability to change the reflection coefficients of the unit cells of a programmable metasurface.
no code implementations • 19 Nov 2019 • Weihua Xu, Feifei Gao, Shi Jin, Ahmed Alkhateeb
In this paper, we present a novel framework of 3D scene based beam selection for mmWave communications that relies only on the environmental data and deep learning techniques.
no code implementations • 13 Nov 2019 • Wankai Tang, Ming Zheng Chen, Xiangyu Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Yong Zeng, Shi Jin, Qiang Cheng, Tie Jun Cui
The measurement results match well with the modeling results, thus validating the proposed free-space path loss models for RIS, which may pave the way for further theoretical studies and practical applications in this field.
no code implementations • 7 Nov 2019 • Keming Feng, Xiao Li, Yu Han, Shi Jin, Yijian Chen
In this letter, the use of intelligent reflecting surface (IRS) to enhance the physical layer security of downlink wireless communication is investigated.
no code implementations • 1 Nov 2019 • Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
Specifically, the theoretical bound reveals the following three key properties: 1) There is a tradeoff between the convergence performance and privacy protection levels, i. e., a better convergence performance leads to a lower protection level; 2) Given a fixed privacy protection level, increasing the number $N$ of overall clients participating in FL can improve the convergence performance; 3) There is an optimal number of maximum aggregation times (communication rounds) in terms of convergence performance for a given protection level.
no code implementations • 24 Sep 2019 • Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology.
Information Theory Signal Processing Information Theory
no code implementations • 31 Jul 2019 • Jiajia Guo, Jinghe Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Deep learning (DL) has achieved great success in signal processing and communications and has become a promising technology for future wireless communications.
Information Theory Signal Processing Information Theory
no code implementations • 31 Jul 2019 • Qisheng Wang, Keming Feng, Xiao Li, Shi Jin
In this letter, we investigate the hybrid beamforming for millimeter wave massive multiple-input multiple-output (MIMO) system based on deep reinforcement learning (DRL).
no code implementations • 22 Jul 2019 • Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
In this paper, we investigate the model-driven deep learning (DL) for MIMO detection.
1 code implementation • 14 Jun 2019 • Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency.
Signal Processing Information Theory Information Theory
1 code implementation • 3 Jun 2019 • Jiang Zhu, Chao-Kai Wen, Jun Tong, Chongbin Xu, Shi Jin
Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) system.
Signal Processing Information Theory Information Theory
no code implementations • 4 May 2019 • Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
The DL-OAMP receiver includes a channel estimation neural network (CE-Net) and a signal detection neural network based on OAMP, called OAMP-Net.
no code implementations • 12 Mar 2019 • Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
The AI receiver includes a channel estimation neural network (CE-NET) and a signal detection neural network based on orthogonal approximate message passing (OAMP), called OAMP-NET.
Information Theory Information Theory
no code implementations • 17 Dec 2018 • Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
From the OTA test, the AI-aided OFDM receivers, especially the SwitchNet receiver, are robust to real environments and promising for future communication systems.
no code implementations • 17 Sep 2018 • Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu
Intelligent communication is gradually considered as the mainstream direction in future wireless communications.
no code implementations • ECCV 2018 • Shi Jin, Ruiynag Liu, Yu Ji, Jinwei Ye, Jingyi Yu
The bullet-time effect, presented in feature film ``The Matrix", has been widely adopted in feature films and TV commercials to create an amazing stopping-time illusion.
no code implementations • CVPR 2018 • Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu
The recovered layout is then used to guide shape estimation of the remaining objects using their normal information.
1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.