Search Results for author: Shi Jin

Found 47 papers, 6 papers with code

Low-Latency Federated Learning over Wireless Channels with Differential Privacy

no code implementations20 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.

Federated Learning

AI Enlightens Wireless Communication: Analyses, Solutions and Opportunities on CSI Feedback

no code implementations12 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.


Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ

no code implementations6 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.

Deep Learning-based Implicit CSI Feedback in Massive MIMO

no code implementations21 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.

Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems

no code implementations28 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.

Fast Antenna and Beam Switching Method for mmWave Handsets with Hand Blockage

no code implementations15 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.

On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network

no code implementations5 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

Environment-Aware and Training-Free Beam Alignment for mmWave Massive MIMO via Channel Knowledge Map

no code implementations19 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).

Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

no code implementations1 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.

Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band

no code implementations21 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 proposed refined path loss model for RISs reveals that the reflecting capability of a single unit cell is proportional to its physical aperture and to an angle-dependent factor.

CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning

no code implementations12 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.

Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems

no code implementations3 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

Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

no code implementations29 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.

A random batch Ewald method for particle systems with Coulomb interactions

no code implementations4 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

Integrated Communication and Localization in mmWave Systems

no code implementations28 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.

The LISE package: solvers for static and time-dependent superfluid local density approximation equations in three dimensions

1 code implementation1 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

Joint Channel Assignment and Power Allocation for Multi-UAV Communication

no code implementations19 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.

Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design with 3D Beam Flattening

no code implementations27 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.

Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

no code implementations30 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.

Compressive Sensing Denoising

Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding

no code implementations27 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.

Model-Driven DNN Decoder for Turbo Codes: Design, Simulation and Experimental Results

no code implementations16 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.

Robot-assisted Backscatter Localization for IoT Applications

no code implementations21 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.

Indoor Localization

Angle-Dependent Phase Shifter Model for Reconfigurable Intelligent Surfaces: Does the Angle-Reciprocity Hold?

no code implementations9 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.

Energy Model for UAV Communications: Experimental Validation and Model Generalization

no code implementations4 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.

Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO

no code implementations1 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

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

1 code implementation17 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.

DL-based CSI Feedback and Cooperative Recovery in Massive MIMO

no code implementations6 Mar 2020 Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

In this paper, we exploit the correlation between nearby user equipment (UE) and develop a deep learning-based channel state information (CSI) feedback and cooperative recovery framework, CoCsiNet, to reduce the feedback overhead.

Information Theory Signal Processing Information Theory

MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation

no code implementations20 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.

3D Scene Based Beam Selection for mmWave Communications

no code implementations19 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.

3D Scene Reconstruction

Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

no code implementations13 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.

Physical Layer Security Enhancement Exploiting Intelligent Reflecting Surface

no code implementations7 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.

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

no code implementations1 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.

Federated Learning

Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

no code implementations24 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

Compression and Acceleration of Neural Networks for Communications

no code implementations31 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

PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems with Deep Reinforcement Learning

no code implementations31 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).

Model-Driven Deep Learning for MIMO Detection

no code implementations22 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.

Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

1 code implementation14 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

Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs

1 code implementation3 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

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

no code implementations4 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.

Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test

no code implementations12 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

Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results

no code implementations17 Dec 2018 Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

To address the performance gap between the simulation and the OTA test caused by the discrepancy between the channel model for offline training and real environments, we develop a novel online training strategy, called SwitchNet receiver.

Model-Driven Deep Learning for Physical Layer Communications

no code implementations17 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.

Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning

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.


Automatic 3D Indoor Scene Modeling From Single Panorama

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.

Object Detection

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