b'Shi Jin'

research

∙ 09/16/2020

A Fine-Grained Analysis of mmWave Heterogeneous Networks

A fine-grained analysis of the cache-enabled networks is crucial for sys...

0 Le Yang, et al. ∙

research

∙ 08/29/2020

Random Batch Algorithms for Quantum Monte Carlo simulations

Random batch algorithms are constructed for quantum Monte Carlo simulati...

0 Shi Jin, et al. ∙

research

∙ 08/01/2020

Analysis and Optimization of Cache-Enabled Networks with Random DTX Scheme

In this paper, we focus on the meta distribution for the cache-enabled n...

0 Le Yang, et al. ∙

research

∙ 07/02/2020

A Survey of Prototype and Experiment for UAV Communications

Unmanned aerial vehicle (UAV) communications have attracted significant ...

0 Qingheng Song, et al. ∙

research

∙ 06/30/2020

Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach

Terahertz (THz)-band communications have been one of the promising techn...

0 Hengtao He, et al. ∙

research

∙ 06/28/2020

Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding

Massive multiuser multiple-input multiple-output (MU-MIMO) has been the ...

0 Hengtao He, et al. ∙

research

∙ 06/16/2020

Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users

Emergence of various types of services has brought about explosive growt...

0 Le Yang, et al. ∙

research

∙ 06/01/2020

Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback

In this letter, we study the performance of a downlink multiuser massive...

0 Yaqiong Zhao, et al. ∙

research

∙ 05/29/2020

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

This paper considers a multiuser massive multiple-input multiple-output ...

0 Jindan Xu, et al. ∙

research

∙ 05/24/2020

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...

0 Shi Jin, et al. ∙

research

∙ 05/21/2020

Robot-assisted Backscatter Localization for IoT Applications

Recent years have witnessed the rapid proliferation of backscatter techn...

0 Shengkai Zhang, et al. ∙

research

∙ 05/09/2020

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

The existing phase shifter models adopted for reconfigurable intelligent...

0 Weicong Chen, et al. ∙

research

∙ 05/06/2020

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...

0 Wanli Wen, et al. ∙

research

∙ 05/01/2020

Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO

In frequency division duplex mode of massive multiple-input multiple-out...

0 Zheng Cao, et al. ∙

research

∙ 04/13/2020

MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems

Millimeter wave (mmWave) band, or high frequencies such as THz, has larg...

0 Xi Yang, et al. ∙

research

∙ 03/25/2020

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...

0 Shi Jin, et al. ∙

research

∙ 03/17/2020

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

Cellular-connected unmanned aerial vehicle (UAV) is a promising technolo...

0 Yong Zeng, et al. ∙

research

∙ 03/06/2020

DL-based CSI Feedback and Cooperative Recovery in Massive MIMO

In this paper, we exploit the correlation between nearby user equipment ...

0 Jiajia Guo, et al. ∙

research

∙ 02/25/2020

Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks

In this paper, we propose a novel secure random caching scheme for large...

0 Wanli Wen, et al. ∙

research

∙ 02/23/2020

Adversarial Attack on DL-based Massive MIMO CSI Feedback

With the increasing application of deep learning (DL) algorithms in wire...

0 Qing Liu, et al. ∙

research

∙ 02/23/2020

Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction

This paper proposes a model-driven deep learning-based downlink channel ...

0 Yu Han, et al. ∙

research

∙ 01/21/2020

Enabling Panoramic Full-Angle Reflection via Aerial Intelligent Reflecting Surface

This paper proposes a new three dimensional (3D) networking architecture...

0 Haiquan Lu, et al. ∙

research

∙ 12/26/2019

Edge Caching with Real-Time Guarantees

In recent years, optimization of the success transmission probability in...

0 Le Yang, et al. ∙

research

∙ 12/20/2019

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

Reconfigurable intelligent surface (RIS) is a new paradigm that has grea...

0 Wankai Tang, et al. ∙

research

∙ 12/16/2019

The Random Batch Method for N-Body Quantum Dynamics

This paper discusses a numerical method for computing the evolution of l...

0 François Golse, et al. ∙

research

∙ 12/14/2019

Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs

The combination of orthogonal frequency modulation (OFDM) and multiple-i...

0 Hanqing Wang, et al. ∙

research

∙ 11/19/2019

Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System

Deploying mobile edge computing (MEC) server in the mobile blockchain-en...

0 Yiping Zuo, et al. ∙

research

∙ 11/13/2019

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

Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cel...

0 Wankai Tang, et al. ∙

research

∙ 11/01/2019

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

In this paper, to effectively prevent information leakage, we propose a ...

0 Kang Wei, et al. ∙

research

∙ 11/01/2019

Performance Analysis on Federated Learning with Differential Privacy

In this paper, to effectively prevent the differential attack, we propos...

0 Kang Wei, et al. ∙

research

∙ 10/26/2019

The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term

We consider the Vlasov-Fokker-Planck equation with random electric field...

0 Shi Jin, et al. ∙

research

∙ 10/20/2019

Error estimate of a bi-fidelity method for kinetic equations with random parameters and multiple scales

In this paper, we conduct uniform error estimates of the bi-fidelity met...

0 Irene M. Gamba, et al. ∙

research

∙ 10/16/2019

An Uncertainty Quantification Approach to the Study of Gene Expression Robustness

We study a chemical kinetic system with uncertainty modeling a gene regu...

0 Pierre Degond, et al. ∙

research

∙ 10/11/2019

Channel Estimation for Extremely Large-Scale Massive MIMO Systems

Extremely large-scale massive multiple-input multiple-output (MIMO) has ...

0 Yu Han, et al. ∙

research

∙ 09/24/2019

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

Quantized channel state information (CSI) plays a critical role in preco...

0 Chao Lu, et al. ∙

research

∙ 09/15/2019

On the Uplink Transmission of Multi-user Extra-large Scale Massive MIMO Systems

With the inherent benefits, such as, better cell coverage and higher are...

0 Xi Yang, et al. ∙

research

∙ 09/12/2019

Traffic-aware Two-stage Queueing Communication Networks: Queue Analysis and Energy Saving

To boost energy saving for the general delay-tolerant IoT networks, a tw...

0 Nan Qi, et al. ∙

research

∙ 08/12/2019

3-D Positioning and Environment Mapping for mmWave Communication Systems

Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new...

0 Jie Yang, et al. ∙

research

∙ 08/09/2019

Localizing Backscatters by a Single Robot With Zero Start-up Cost

Recent years have witnessed the rapid proliferation of low-power backsca...

0 Shengkai Zhang, et al. ∙

research

∙ 07/31/2019

Compression and Acceleration of Neural Networks for Communications

Deep learning (DL) has achieved great success in signal processing and c...

0 Jiajia Guo, et al. ∙

research

∙ 07/23/2019

An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques

In the past ten years, there have been tremendous research progresses on...

0 Mingjin Wang, et al. ∙

research

∙ 07/22/2019

Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection

In this paper, we investigate the model-driven deep learning (DL) for jo...

0 Hengtao He, et al. ∙

research

∙ 07/22/2019

Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution

In this paper, the paradigm of sphere decoding (SD) based on lattice Gau...

0 Zheng Wang, et al. ∙

research

∙ 07/04/2019

A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

As a green and secure wireless transmission way, secure spatial modulati...

0 Feng Shu, et al. ∙

research

∙ 06/14/2019

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

Massive multiple-input multiple-output (MIMO) is a promising technology ...

0 Jiajia Guo, et al. ∙

research

∙ 06/05/2019

Expectation Propagation Detector for Extra-Large Scale Massive MIMO

The deployment of extremely large-scale antenna array at the base statio...

0 Hanqing Wang, et al. ∙

research

∙ 06/03/2019

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

Employing low-resolution analog-to-digital converters (ADCs) coupled wit...

0 Jiang Zhu, et al. ∙

research

∙ 05/25/2019

TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code

This paper presents TurboNet, a novel model-driven deep learning (DL) ar...

0 Yunfeng He, et al. ∙

research

∙ 05/04/2019

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

Channel estimation and signal detection are very challenging for an orth...

0 Jing Zhang, et al. ∙

research

∙ 03/12/2019

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

Orthogonal frequency division multiplexing (OFDM), usually with sufficie...

0 Jing Zhang, et al. ∙

Shi Jin

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