
A Survey of Prototype and Experiment for UAV Communications
Unmanned aerial vehicle (UAV) communications have attracted significant ...
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Beamspace Channel Estimation in Terahertz Communications: A ModelDriven Unsupervised Learning Approach
Terahertz (THz)band communications have been one of the promising techn...
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ModelDriven Deep Learning for Massive MUMIMO with FiniteAlphabet Precoding
Massive multiuser multipleinput multipleoutput (MUMIMO) has been the ...
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SpatioTemporal Analysis of Cellular Networks with CellCenter/Edge Users
Emergence of various types of services has brought about explosive growt...
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Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
In this letter, we study the performance of a downlink multiuser massive...
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On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains
This paper considers a multiuser massive multipleinput multipleoutput ...
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On the mean field limit of Random Batch Method for interacting particle systems
The Random Batch Method proposed in our previous work [Jin et al., J. Co...
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Robotassisted Backscatter Localization for IoT Applications
Recent years have witnessed the rapid proliferation of backscatter techn...
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AngleDependent Phase Shifter Model for Reconfigurable Intelligent Surfaces: Does the AngleReciprocity Hold?
The existing phase shifter models adopted for reconfigurable intelligent...
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Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing
As software may be used by multiple users, caching popular software at t...
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Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO
In frequency division duplex mode of massive multipleinput multipleout...
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MIMO Detection for Reconfigurable Intelligent SurfaceAssisted Millimeter Wave Systems
Millimeter wave (mmWave) band, or high frequencies such as THz, has larg...
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Convergence of Random Batch Method for interacting particles with disparate species and weights
We consider in this work the convergence of Random Batch Method proposed...
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Simultaneous Navigation and Radio Mapping for CellularConnected UAV with Deep Reinforcement Learning
Cellularconnected unmanned aerial vehicle (UAV) is a promising technolo...
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DLbased CSI Feedback and Cooperative Recovery in Massive MIMO
In this paper, we exploit the correlation between nearby user equipment ...
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Enhancing Physical Layer Security of Random Caching in LargeScale MultiAntenna Heterogeneous Wireless Networks
In this paper, we propose a novel secure random caching scheme for large...
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Adversarial Attack on DLbased Massive MIMO CSI Feedback
With the increasing application of deep learning (DL) algorithms in wire...
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Deep Learning Based FDD NonStationary Massive MIMO Downlink Channel Reconstruction
This paper proposes a modeldriven deep learningbased downlink channel ...
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Enabling Panoramic FullAngle Reflection via Aerial Intelligent Reflecting Surface
This paper proposes a new three dimensional (3D) networking architecture...
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Edge Caching with RealTime Guarantees
In recent years, optimization of the success transmission probability in...
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MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Reconfigurable intelligent surface (RIS) is a new paradigm that has grea...
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The Random Batch Method for NBody Quantum Dynamics
This paper discusses a numerical method for computing the evolution of l...
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Dynamic Metasurface Antennas for MIMOOFDM Receivers with BitLimited ADCs
The combination of orthogonal frequency modulation (OFDM) and multiplei...
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Computation Offloading in the Untrusted MECaided Mobile Blockchain IoT System
Deploying mobile edge computing (MEC) server in the mobile blockchainen...
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Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cel...
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Federated Learning with Differential Privacy: Algorithms and Performance Analysis
In this paper, to effectively prevent information leakage, we propose a ...
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Performance Analysis on Federated Learning with Differential Privacy
In this paper, to effectively prevent the differential attack, we propos...
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The VlasovFokkerPlanck Equation with High Dimensional Parametric Forcing Term
We consider the VlasovFokkerPlanck equation with random electric field...
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Error estimate of a bifidelity method for kinetic equations with random parameters and multiple scales
In this paper, we conduct uniform error estimates of the bifidelity met...
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An Uncertainty Quantification Approach to the Study of Gene Expression Robustness
We study a chemical kinetic system with uncertainty modeling a gene regu...
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Channel Estimation for Extremely LargeScale Massive MIMO Systems
Extremely largescale massive multipleinput multipleoutput (MIMO) has ...
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Bitlevel Optimized Neural Network for Multiantenna Channel Quantization
Quantized channel state information (CSI) plays a critical role in preco...
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On the Uplink Transmission of Multiuser Extralarge Scale Massive MIMO Systems
With the inherent benefits, such as, better cell coverage and higher are...
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Trafficaware Twostage Queueing Communication Networks: Queue Analysis and Energy Saving
To boost energy saving for the general delaytolerant IoT networks, a tw...
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3D Positioning and Environment Mapping for mmWave Communication Systems
Millimeterwave (mmWave) cloud radio access networks (CRANs) provide new...
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Localizing Backscatters by a Single Robot With Zero Startup Cost
Recent years have witnessed the rapid proliferation of lowpower backsca...
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Compression and Acceleration of Neural Networks for Communications
Deep learning (DL) has achieved great success in signal processing and c...
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An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
In the past ten years, there have been tremendous research progresses on...
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ModelDriven Deep Learning for Joint MIMO Channel Estimation and Signal Detection
In this paper, we investigate the modeldriven deep learning (DL) for jo...
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Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution
In this paper, the paradigm of sphere decoding (SD) based on lattice Gau...
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A Deeplearningbased Joint Inference for Secure Spatial Modulation Receiver
As a green and secure wireless transmission way, secure spatial modulati...
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Convolutional Neural Network based MultipleRate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis
Massive multipleinput multipleoutput (MIMO) is a promising technology ...
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Expectation Propagation Detector for ExtraLarge Scale Massive MIMO
The deployment of extremely largescale antenna array at the base statio...
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Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs
Employing lowresolution analogtodigital converters (ADCs) coupled wit...
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TurboNet: A Modeldriven DNN Decoder Based on MaxLogMAP Algorithm for Turbo Code
This paper presents TurboNet, a novel modeldriven deep learning (DL) ar...
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Deep Learning Based on Orthogonal Approximate Message Passing for CPFree OFDM
Channel estimation and signal detection are very challenging for an orth...
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Artificial Intelligenceaided Receiver for A CPFree OFDM System: Design, Simulation, and Experimental Test
Orthogonal frequency division multiplexing (OFDM), usually with sufficie...
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Beam Squint and Channel Estimation for Wideband mmWave Massive MIMOOFDM Systems
With the increasing scale of antenna arrays in wideband millimeterwave ...
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DataAided Secure Massive MIMO Transmission under the Pilot Contamination Attack
In this paper, we study the design of secure communication for time divi...
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FDD Massive MIMO Based on Efficient Downlink Channel Reconstruction
Massive multipleinput multipleoutput (MIMO) systems deploying a large ...
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Shi Jin
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Associate Professor at Southeast University National Mobile Communications Research Laboratory since 2007