activity
20152023
most citedA Deep Learning Framework for Optimization of MISO Downlink Beamforming

367 citations · 1.5k across the 122 of their papers we have counts for

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Showing 2022Show all

29 papers · 1 filter

eess.SP2022

Enhanced-rate Iterative Beamformers for Active IRS-assisted Wireless Communications

Yeqing Lin, Feng Shu, Rongen Dong +5

Compared to passive intelligent reflecting surface (IRS), active IRS is viewed as a more efficient promising technique to combat the double-fading impact in IRS-aided wireless netw…

eess.SP2022★ 1 cited

Three High-rate Beamforming Methods for Active IRS-aided Wireless Network

Feng Shu, Jing liu, Yeqing Lin +5

Due to its ability of breaking the double-fading effect experienced by passive intelligent reflecting surface (IRS), active IRS is evolving a potential technique for future 6G wire…

cs.IT2022★ 2 cited

Low-overhead Beam Training Scheme for Extremely Large-Scale RIS in Near-field

Wang Liu, Cunhua Pan, Hong Ren +3

Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been proposed and is recognized as a promising technology that can further enhance the capacity of co…

eess.SP2022

Channel Tracking for RIS-aided mmWave Communications Under High Mobility Scenarios

Yu Liu, Ming Chen, Cunhua Pan +5

The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for p…

cs.IT2022

Two Low-complexity Efficient Beamformers for IRS-and-UAV-aided Directional Modulation Networks

Yeqing Lin, Feng Shu, Yuxiang Zheng +5

As the excellent tools for aiding communication,intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) can extend the coverage area, remove blind area, and achieve…

cs.IT2022

Asynchronous RIS-assisted Localization: A Comprehensive Analysis of Fundamental Limits

Ziyi Gong, Liang Wu, Zaichen Zhang +3

The reconfigurable intelligent surface (RIS) has drawn considerable attention for its ability to enhance the performance of not only the wireless communication but also the indoor…

eess.SP2022★ 3 cited

Two-Timescale Transmission Design for RIS-Aided Cell-Free Massive MIMO Systems

Jianxin Dai, Jin Ge, Kangda Zhi +4

This paper investigates the performance of a two-timescale transmission design for uplink reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-o…

eess.SP2022

Enhanced Secure Wireless Transmission Using IRS-aided Directional Modulation

Yeqing Lin, Rongen Dong, Peng Zhang +2

As an excellent aided communication tool, intelligent reflecting surface (IRS) can make a significant rate enhancement and coverage extension. In this paper, we present an investig…

cs.IT2022

Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO in Near-Field Domain

Wang Liu, Hong Ren, Cunhua Pan +1

Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. In order to enhance the beam…

eess.SP2022

Deep Learning Based DOA Estimation for Hybrid Massive MIMO Receive Array with Overlapped Subarrays

Yifan Li, Baihua Shi, Feng Shu +2

To improve the accuracy of direction-of-arrival (DOA) estimation, a deep learning (DL)-based method called CDAE-DNN is proposed for hybrid analog and digital (HAD) massive MIMO rec…

eess.SP2022

Active Reconfigurable Intelligent Surface for Mobile Edge Computing

Zhangjie Peng, Ruisong Weng, Zhenkun Zhang +2

This paper investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with acti…

eess.SP2022★ 2 cited

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning

Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard +1

The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless commu…

cs.IT2022★ 4 cited

Experimental Performance Evaluation of Cell-free Massive MIMO Systems Using COTS RRU with OTA Reciprocity Calibration and Phase Synchronization

Yang Cao, Pan Wang, Kang Zheng +9

Downlink coherent multiuser transmission is an essential technique for cell-free massive multiple-input multiple output (MIMO) systems, and the availability of channel state inform…

cs.IT2022★ 30 cited

Performance Analysis and Optimization for RIS-Assisted Multi-User Massive MIMO Systems with Imperfect Hardware

Zhangjie Peng, Xianzhe Chen, Cunhua Pan +2

The paper studies a reconfigurable intelligent surface (RIS)-assisted multi-user uplink massive multiple-input multiple-output (MIMO) system with imperfect hardware. At the RIS, th…

cs.IT2022★ 31 cited

Multi-Pair D2D Communications Aided by An Active RIS over Spatially Correlated Channels with Phase Noise

Zhangjie Peng, Xue Liu, Cunhua Pan +2

This paper investigates a multi-pair device-to-device (D2D) communication system aided by an active reconfigurable intelligent surface (RIS) with phase noise and direct link. The a…

cs.IT2022★ 76 cited

Deep Reinforcement Learning for RIS-aided Multiuser Full-Duplex Secure Communications with Hardware Impairments

Zhangjie Peng, Zhibo Zhang, Lei Kong +3

In this paper, we investigate a reconfigurable intelligent surface (RIS)-aided multiuser full-duplex secure communication system with hardware impairments at transceivers and RIS,…

cs.DC2022★ 190 cited

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

Qiong Wu, Yu Zhao, Qiang Fan +3

The vehicular edge computing (VEC) can cache contents in different RSUs at the network edge to support the real-time vehicular applications. In VEC, owing to the high-mobility char…

eess.SP2022★ 1 cited

RIS-Aided Localization Algorithm and Analysis: Tackling Non-Gaussian Angle Estimation Errors

Tuo Wu, Hong Ren, Cunhua Pan +5

Reconfigurable intelligent surface (RIS)-aided localization systems are increasingly recognized for enhancing accuracy in internet of things (IoT) networks. However, prevailing stu…

eess.SP2022★ 2 cited

Joint Angle Estimation Error Analysis and 3D Positioning Algorithm Design for mmWave Positioning System

Tuo Wu, Cunhua Pan, Yijin Pan +5

In this paper, we propose a comprehensive framework to jointly analyze the angle estimation error and design the three-dimensional (3D) positioning algorithm for a millimeter wave…

eess.SP2022★ 19 cited

Optimal Measurement of Drone Swarm in RSS-based Passive Localization with Region Constraints

Xin Cheng, Feng Shu, Yifan Li +3

Passive geolocation by multiple unmanned aerial vehicles (UAVs) covers a wide range of military and civilian applications including rescue, wild life tracking and electronic warfar…

cs.IT2022

Low-complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS

Rongen Dong, Shaohua Jiang, Xinhai Hua +3

Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order…

eess.SP2022★ 4 cited

Providing Location Information at Edge Networks: A Federated Learning-Based Approach

Xin Cheng, Tingting Liu, Feng Shu +3

Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost. The location informatio…

cs.IT2022★ 1 cited

Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS

Rongen Dong, Yin Teng, Zhongwen Sun +5

Discrete phase shifters of intelligent reflecting surface (IRS) generates phase quantization error (QE) and degrades the receive performance at the receiver. To make an analysis of…

eess.SP2022

Two Low-complexity DOA Estimators for Massive/Ultra-massive MIMO Receive Array

Yiwen Chen, Xichao Zhan, Feng Shu +4

Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity. To address…