output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2019 · eess.SPShow all

24 papers · 2 filters

eess.SP2019★ 426 cited

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

Wankai Tang, Jun Yan Dai, Ming Zheng Chen +6

Reconfigurable intelligent surface (RIS) is a new paradigm that has great potential to achieve cost-effective, energy-efficient information modulation for wireless transmission, by…

eess.SP2019

Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks

Feibo Jiang, Kezhi Wang, Li Dong +3

In this paper, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), ground vehicles (GVs) and unmanned aerial vehicle (UAVs), all with…

eess.SP2019★ 3 cited

3D Scene Based Beam Selection for mmWave Communications

Weihua Xu, Feifei Gao, Shi Jin +1

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. Diff…

eess.SP2019★ 1.7k cited

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

Wankai Tang, Ming Zheng Chen, Xiangyu Chen +7

Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagneti…

eess.SP2019★ 107 cited

A New Atomic Norm for DOA Estimation With Gain-Phase Errors

Peng Chen, Zhimin Chen, Zhenxin Cao +1

The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing…

eess.SP2019★ 183 cited

An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques

Mingjin Wang, Feifei Gao, Shi Jin +1

In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint. A new trend of investigating m…

eess.SP2019★ 1 cited

A Caching Strategy Towards Maximal D2D Assisted Offloading Gain

Yijin Pan, Cunhua Pan, Zhaohui Yang +2

Device-to-Device (D2D) communications incorporated with content caching have been regarded as a promising way to offload the cellular traffic data. In this paper, the caching strat…

eess.SP2019

Weighted Spectral Efficiency Optimization for Hybrid Beamforming in Multiuser Massive MIMO-OFDM Systems

Jingbo Du, Wei Xu, Chunming Zhao +1

In this paper, we consider hybrid beamforming designs for multiuser massive multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems. Aiming…

eess.SP2019★ 367 cited

Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design

Wankai Tang, Ming Zheng Chen, Jun Yan Dai +5

Many emerging technologies, such as ultra-massive multiple-input multiple-output (UM-MIMO), terahertz (THz) communications are under active discussion as promising technologies to…

eess.SP2019★ 96 cited

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

Qisheng Wang, Keming Feng, Xiao Li +1

In this letter, we investigate the hybrid beamforming for millimeter wave massive multiple-input multiple-output (MIMO) system based on deep reinforcement learning (DRL). Imperfect…

eess.SP2019★ 11 cited

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

Jiajia Guo, Chao-Kai Wen, Shi Jin +1

Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on available channel stat…

eess.SP2019

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

Jiang Zhu, Chao-kai Wen, Jun Tong +2

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) sy…

eess.SP2019★ 430 cited

Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO

Malong Ke, Zhen Gao, Yongpeng Wu +2

This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on c…

eess.SP2019★ 75 cited

Expectation Propagation Detector for Extra-Large Scale Massive MIMO

Hanqing Wang, Alva Kosasih, Chao-Kai Wen +2

The order-of-magnitude increase in the dimension of antenna arrays, which forms extra-large-scale massive multiple-input-multiple-output (MIMO) systems, enables substantial improve…

eess.SP2019★ 4 cited

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

Yunfeng He, Jing Zhang, Chao-Kai Wen +1

This paper presents TurboNet, a novel model-driven deep learning (DL) architecture for turbo decoding that combines DL with the traditional max-log-maximum a posteriori (MAP) algor…

eess.SP2019★ 278 cited

A Survey of Data Fusion in Smart City Applications

Billy Pik Lik Lau, Sumudu Hasala Marakkalage, Yuren Zhou +4

The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology has shed some light in transform…

eess.SP2019★ 37 cited

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

Jing Zhang, Hengtao He, Chao-Kai Wen +2

Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learn…

eess.SP2019★ 171 cited

Programmable Metasurface-based RF Chain-free 8PSK Wireless Transmitter

Wankai Tang, Jun Yan Dai, Mingzheng Chen +5

In this letter, a wireless transmitter using the new architecture of programmable metasurface is presented. The proposed transmitter does not require any filter, nor wideband mixer…

eess.SP2019★ 61 cited

Deep Learning Based Pilot Design for Multi-user Distributed Massive MIMO Systems

Jun Xu, Pengcheng Zhu, Jiamin Li +1

This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input m…

eess.SP2019

Molecular Polar Belief Propagation Decoder and Successive Cancellation Decoder

Zhiwei Zhong, Lulu Ge, Zaichen Zhang +2

By constructing chemical reaction networks (CRNs), this paper proposes a method of synthesizing polar decoder using belief propagation (BP) algorithm and successive cancellation (S…

eess.SP2019★ 1 cited

Joint Timing Offset and Channel Estimation for Multi-user UFMC Uplink

Yicheng Xu, Hongyun Chu, Xiaodong Wang

Universal filtered multi-carrier (UFMC), which groups and filters subcarriers before transmission, is a potential multi-carrier modulation technique investigated for the emerging M…

eess.SP2019★ 67 cited

On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments

Liangyuan Xu, Xintong Lu, Shi Jin +2

This paper considers channel estimation and uplink achievable rate of the coarsely quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) impairme…

eess.SP2019

Precoding Design for Energy Efficiency of Multibeam Satellite Communications

Chenhao Qi, Xin Wang

Instead of merely improving the spectral efficiency (SE), improving the energy efficiency (EE) is another important concern for multibeam satellite systems, due to the power constr…

eess.SP2019

Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining

Wenyan Ma, Chenhao Qi

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and co…