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

1.9k citations

Showing 2020 · eess.SPShow all

54 papers · 2 filters

eess.SP2020

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN

Guanxiong Shen, Junqing Zhang, Alan Marshall +2

Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices. We designed…

eess.SP2020★ 3 cited

Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI

Yang Liu, Jun Zhao, Ming Li +1

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network…

eess.SP2020

6G Wireless Channel Measurements and Models: Trends and Challenges

C. -X. Wang, J. Huang, H. Wang +3

In this article, we first present our vision on the application scenarios, performance metrics, and potential key technologies of the sixth generation (6G) wireless communication n…

eess.SP2020

Meta Learning-based MIMO Detectors: Design, Simulation, and Experimental Test

Jing Zhang, Yunfeng He, Yu-Wen Li +2

Deep neural networks (NNs) have exhibited considerable potential for efficiently balancing the performance and complexity of multiple-input and multiple-output (MIMO) detectors. We…

eess.SP2020

A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surface

Yingzhuo Sun, Cheng-Xiang Wang, Jie Huang +1

As one of the key technologies for the sixth generation (6G) mobile communications, intelligent reflecting surface IRS) has the advantages of low power consumption, low cost, and s…

eess.SP2020★ 42 cited

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

Cunhua Pan, Hong Ren, Kezhi Wang +9

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spe…

eess.SP2020★ 34 cited

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

Wei Chen, Bowen Zhang, Shi Jin +2

Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted…

eess.SP2020★ 16 cited

UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

Yijin Pan, Kezhi Wang, Cunhua Pan +2

In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications. To this end, the joint optimization…

eess.SP2020★ 3 cited

Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface

Zhaohui Yang, Wei Xu, Chongwen Huang +2

This paper investigates the problem of resource allocation for multiuser communication networks with a reconfigurable intelligent surface (RIS)-assisted wireless transmitter. In th…

eess.SP2020★ 8 cited

Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

Liang Wang, Kezhi Wang, Cunhua Pan +3

An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the…

eess.SP2020★ 6 cited

Stochastic Learning-Based Robust Beamforming Design for RIS-Aided Millimeter-Wave Systems in the Presence of Random Blockages

Gui Zhou, Cunhua Pan, Hong Ren +3

A fundamental challenge for millimeter wave (mmWave) communications lies in its sensitivity to the presence of blockages, which impact the connectivity of the communication links a…

eess.SP2020★ 2 cited

Joint Channel Assignment and Power Allocation for Multi-UAV Communication

Lingyun Zhou, Xihan Chen, Mingyi Hong +2

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 favo…

eess.SP2020

AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems

Yuyao Sun, Wei Xu, Lisheng Fan +2

Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma…

eess.SP2020★ 15 cited

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

Jinlei Zhang, Hongshu Che, Feng Chen +2

Short-term origin-destination (OD) flow prediction in urban rail transit (URT) plays a crucial role in smart and real-time URT operation and management. Different from other short-…

eess.SP2020★ 170 cited

Downlink Transmit Design for Massive MIMO LEO Satellite Communications

Ke-Xin Li, Li You, Jiaheng Wang +4

This paper investigates the downlink (DL) transmit design for massive multiple-input multiple-output (MIMO) low-earth-orbit (LEO) satellite communication systems, where only the sl…

eess.SP2020★ 10 cited

Uplink Achievable Rate of Intelligent Reflecting Surface-Aided Millimeter-Wave Communications with Low-Resolution ADC and Phase Noise

Kangda Zhi, Cunhua Pan, Hong Ren +1

In this paper, we derive the uplink achievable rate expression of intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) systems, taking into account the phase noise a…

eess.SP2020

A 3D Non-Stationary GBSM for Vehicular Visible Light Communication MISO Channels

A. Al-Kinani, C. -X. Wang, Q. Zhu +3

The potential of using visible light communication (VLC) technologies for vehicular communication networks has recently attracted much attention. The underlying VLC channels, as a…

eess.SP2020

BER Performance of Spatial Modulation Systems Under a Non-Stationary Massive MIMO Channel Model

Yu Fu, Cheng-Xiang Wang, Xuming Fang +2

In this paper, the bit error rate (BER) performance of spatial modulation (SM) systems is investigated both theoretically and by simulation in a non-stationary Kronecker-based mass…

eess.SP2020

A Non-Stationary VVLC MIMO Channel Model for Street Corner Scenarios

Qingshan Chen, Cheng-Xiang Wang, Jian Sun +2

In recent years, the application potential of visible light communication (VLC) technology as an alternative and supplement to radio frequency (RF) technology has attracted people'…

eess.SP2020

Multi-Frequency Multi-Scenario Millimeter Wave MIMO Channel Measurements and Modeling for B5G Wireless Communication Systems

Jie Huang, Cheng-Xiang Wang, Hengtai Chang +2

Millimeter wave (mmWave) bands have been utilized for the fifth generation (5G) communication systems and will no doubt continue to be deployed for beyond 5G (B5G). However, the un…

eess.SP2020

Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks

Yunzeng Li, Wensheng Zhang, Cheng-Xiang Wang +2

In this paper, the problem of dynamic spectrum sensing and aggregation is investigated in a wireless network containing N correlated channels, where these channels are occupied or…

eess.SP2020★ 207 cited

Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things

Chengxiao Liu, Wei Feng, Yunfei Chen +2

In fifth generation (5G) and beyond Internet of Things (IoT), it becomes increasingly important to serve a massive number of IoT devices outside the coverage of terrestrial cellula…

eess.SP2020

Joint Transmit Power and Placement Optimization for URLLC-enabled UAV Relay Systems

Hong Ren, Cunhua Pan, Kezhi Wang +3

This letter considers an unmanned aerial vehicle (UAV)-enabled relay communication system for delivering latency-critical messages with ultra-high reliability, where the relay is o…

eess.SP2020★ 39 cited

Intelligent Reflecting Surface based Passive Information Transmission: A Symbol-Level Precoding Approach

Rang Liu, Ming Li, Qian Liu +2

Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-eff…