Search Results for author: Shi Jin

Found 87 papers, 9 papers with code

Decision Transformer for Wireless Communications: A New Paradigm of Resource Management

no code implementations8 Apr 2024 Jie Zhang, Jun Li, Long Shi, Zhe Wang, Shi Jin, Wen Chen, H. Vincent Poor

By leveraging the power of DT models learned over extensive datasets, the proposed architecture is expected to achieve rapid convergence with many fewer training epochs and higher performance in a new context, e. g., similar tasks with different state and action spaces, compared with DRL.

Edge-computing Management +1

Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients

no code implementations17 Feb 2024 Xiaolu Wang, Zijian Li, Shi Jin, Jun Zhang

Federated learning (FL) is an emerging distributed training paradigm that aims to learn a common global model without exchanging or transferring the data that are stored locally at different clients.

Federated Learning

Robust Symbol-Level Precoding for Massive MIMO Communication Under Channel Aging

no code implementations7 Feb 2024 Yafei Wang, Xinping Yi, Hongwei Hou, Wenjin Wang, Shi Jin

With the signal model in the presence of channel aging, we formulate the signal-to-noise-plus-interference ratio (SINR) balancing and minimum mean square error (MMSE) problems for robust SLP design.

Robust Design

Electromagnetic Property Sensing: A New Paradigm of Integrated Sensing and Communication

no code implementations27 Dec 2023 Yuhua Jiang, Feifei Gao, Shi Jin

Specifically, we first establish an end-to-end EM propagation model by means of Maxwell equations, where the EM property of the target is captured by a closed-form expression of the ISAC channel, incorporating the Lippmann-Schwinger equation and the method of moments (MOM) for discretization.

Compressive Sensing Material Classification

6D Radar Sensing and Tracking in Monostatic Integrated Sensing and Communications System

no code implementations27 Dec 2023 Hongliang Luo, Feifei Gao, Fan Liu, Shi Jin

Unlike most existing ISAC studies believing that only the radial velocity of far-field dynamic target can be measured based on one single base station (BS), we find that the sensing echo channel of MIMO-ISAC system actually includes the distance, horizontal angle, pitch angle, radial velocity, horizontal angular velocity, and pitch angular velocity of the dynamic target.

Reshaping the ISAC Tradeoff Under OFDM Signaling: A Probabilistic Constellation Shaping Approach

no code implementations26 Dec 2023 Zhen Du, Fan Liu, Yifeng Xiong, Tony Xiao Han, Yonina C. Eldar, Shi Jin

To cope with this issue, we characterize the random AF of OFDM communication signals, and demonstrate that the AF variance is determined by the fourth-moment of the constellation amplitudes.

Beam-Delay Domain Channel Estimation for mmWave XL-MIMO Systems

no code implementations10 Dec 2023 Hongwei Hou, Xuan He, Tianhao Fang, Xinping Yi, Wenjin Wang, Shi Jin

This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and beam-squint effects due to the transmission bandwidth and array aperture growth.

Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback

no code implementations27 Nov 2023 Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Shi Jin

This paper proposes using neural architecture search (NAS) to automate the generation of scenario-customized CSI feedback NN architectures, thereby maximizing the potential of deep learning in exclusive environments.

Neural Architecture Search

Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning

no code implementations26 Nov 2023 Weijie Jin, Jing Zhang, Chao-Kai Wen, Shi Jin, Xiao Li, Shuangfeng Han

Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by adjusting the phase of the incident signal.

Stochastic Optimization

Two-stage Synthetic Supervising and Multi-view Consistency Self-supervising based Animal 3D Reconstruction by Single Image

1 code implementation22 Nov 2023 Zijian Kuang, Lihang Ying, Shi Jin, Li Cheng

To address this challenge, we propose the combination of two-stage supervised and self-supervised training to address the challenge of obtaining animal cooperation for 3D scanning.

3D Reconstruction Single-View 3D Reconstruction

Passive Human Sensing Enhanced by Reconfigurable Intelligent Surface: Opportunities and Challenges

no code implementations14 Nov 2023 Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Long Chen, Jingyuan Zhang, Shi Jin, Tie Jun Cui

Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels.

Activity Recognition

Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models

no code implementations24 Oct 2023 Zhiyi Li, Jida Zhang, Jieao Zhu, Shi Jin, Linglong Dai

To address this issue, in this paper, we first utilize a practical power model for a RIS-assisted multi-user multiple-input single-output (MU-MISO) communication system, which takes into account the difference in power dissipation caused by ON-OFF states of RIS's PIN diodes.

Knowledge-driven Meta-learning for CSI Feedback

no code implementations24 Oct 2023 Han Xiao, Wenqiang Tian, Wendong Liu, Jiajia Guo, Zhi Zhang, Shi Jin, Zhihua Shi, Li Guo, Jia Shen

In this article, a knowledge-driven meta-learning approach is proposed, where the DL model initialized by the meta model obtained from meta training phase is able to achieve rapid convergence when facing a new scenario during target retraining phase.


Soft Demodulator for Symbol-Level Precoding in Coded Multiuser MISO Systems

no code implementations16 Oct 2023 Yafei Wang, Hongwei Hou, Wenjin Wang, Xinping Yi, Shi Jin

It is observed that the received SLP signals do not always follow Gaussian distribution, rendering the conventional soft demodulation with the Gaussian assumption unsuitable for the coded SLP systems.

Semantic Communications using Foundation Models: Design Approaches and Open Issues

no code implementations23 Sep 2023 Peiwen Jiang, Chao-Kai Wen, Xinping Yi, Xiao Li, Shi Jin, Jun Zhang

Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics.

Gradient-Based Markov Chain Monte Carlo for MIMO Detection

no code implementations12 Aug 2023 Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

However, optimal MIMO detection is associated with a complexity that grows exponentially with the MIMO dimensions and quickly becomes impractical.

Bayesian Inference

A Quantize-then-Estimate Protocol for CSI Acquisition in IRS-Aided Downlink Communication

no code implementations4 Aug 2023 Rui Wang, Zhaorui Wang, Liang Liu, Shuowen Zhang, Shi Jin

Different from the uplink counterpart where the BS possesses the pilot signals containing the CSI of all the users, in downlink communication, the distributed users merely receive the pilot signals containing their own CSI and cannot leverage the correlation in different users' channels revealed in [1].


RIS-Enhanced Semantic Communications Adaptive to User Requirements

no code implementations30 Jul 2023 Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

Simulation results demonstrate the adaptability and efficiency of the RIS-SC framework across diverse channel conditions and user requirements.

Capturing the Diffusive Behavior of the Multiscale Linear Transport Equations by Asymptotic-Preserving Convolutional DeepONets

no code implementations28 Jun 2023 Keke Wu, Xiong-bin Yan, Shi Jin, Zheng Ma

In this paper, we introduce two types of novel Asymptotic-Preserving Convolutional Deep Operator Networks (APCONs) designed to address the multiscale time-dependent linear transport problem.

Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning

no code implementations26 May 2023 Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang

In this paper, we propose a probabilistic device scheduling framework for over-the-air FL, named PO-FL, to mitigate the negative impact of channel noise, where each device is scheduled according to a certain probability and its model update is reweighted using this probability in aggregation.

Federated Learning Privacy Preserving +1

Two-Bit RIS-Aided Communications at 3.5GHz: Some Insights from the Measurement Results Under Multiple Practical Scenes

no code implementations19 May 2023 Shun Zhang, Haoran Sun, Runze Yu, Hongshenyuan Cui, Jian Ren, Feifei Gao, Shi Jin, Hongxiang Xie, Hao Wang

In particular, we adopt a self-developed broadband intelligent communication system 40MHz-Net (BICT-40N) terminal in order to fully acquire the channel information.

Intelligent Communication Quantization

Near Field Computational Imaging with RIS Generated Virtual Masks

no code implementations23 Apr 2023 Yuhua Jiang, Feifei Gao, Yimin Liu, Shi Jin, Tiejun Cui

We then provide a RIS design scheme for virtual EM masks by employing a regularization technique.

Communication-efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback

no code implementations24 Mar 2023 Yiming Cui, Jiajia Guo, Chao-Kai Wen, Shi Jin

Additionally, since the heterogeneity of CSI datasets in different UEs can degrade the performance of the FEEL-based framework, we introduce a personalization strategy to improve feedback performance.

Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control

no code implementations4 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.

Federated Learning reinforcement-learning +1

Lightweight Neural Network with Knowledge Distillation for CSI Feedback

no code implementations31 Oct 2022 Yiming Cui, Jiajia Guo, Zheng Cao, Huaze Tang, Chao-Kai Wen, Shi Jin, Xin Wang, Xiaolin Hou

Firstly, an autoencoder KD-based method is introduced by training a student autoencoder to mimic the reconstructed CSI of a pretrained teacher autoencoder.

Knowledge Distillation

Two-Timescale Transmission Design for Wireless Communication Systems Aided by Active RIS

no code implementations25 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.

Wireless Semantic Transmission via Revising Modules in Conventional Communications

no code implementations2 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.

Control-Oriented Power Allocation for Integrated Satellite-UAV Networks

no code implementations31 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.


RIS-Aided Near-Field Localization and Channel Estimation for the Sub-Terahertz System

no code implementations24 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.

AI for CSI Feedback Enhancement in 5G-Advanced

no code implementations30 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.

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems

no code implementations29 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.

AI Enlightens Wireless Communication: A Transformer Backbone for CSI Feedback

no code implementations16 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.

Data Augmentation

ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition

1 code implementation11 Jun 2022 Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin

Neural message passing is a basic feature extraction unit for graph-structured data considering neighboring node features in network propagation from one layer to the next.

Node Classification

Rate-Region Characterization and Channel Estimation for Cell-Free Symbiotic Radio Communications

no code implementations17 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.

Multi-task Learning-based CSI Feedback Design in Multiple Scenarios

no code implementations27 Apr 2022 Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Shi Jin, Shuangfeng Han, XiaoYun Wang

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.

Multi-Task Learning

Wireless Semantic Communications for Video Conferencing

no code implementations16 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.

Video Compression

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

no code implementations27 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.

Edge-computing reinforcement-learning +1

Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems

no code implementations9 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.

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.

reinforcement-learning Reinforcement Learning (RL)

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 refined model gives more accurate estimates of the path loss of RISs comprised of unit cells with a deep sub-wavelength size.

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.

Computer Vision and Normalizing Flow-Based Defect Detection

1 code implementation12 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.

Anomaly Detection Defect Detection +2

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.

reinforcement-learning Reinforcement Learning (RL)

Deep Learning-based CSI Feedback for RIS-assisted Multi-user Systems

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

These enhancements are tasked with the precise retrieval and fusion of shared and individual data.

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 Position

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 Privacy Preserving +1

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

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).

reinforcement-learning Reinforcement Learning (RL)

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

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

AI-Aided Online Adaptive 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

From the OTA test, the AI-aided OFDM receivers, especially the SwitchNet receiver, are robust to real environments and promising for future communication systems.

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.

Intelligent Communication

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 Object Detection +1

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