Search Results - "Jin, Shi"

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  1. 1

    Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design With 3D Beam Flattening by Lu, Haiquan, Zeng, Yong, Jin, Shi, Zhang, Rui

    “…Intelligent reflecting surface (IRS) is a promising technology to reconfigure wireless channels, which brings a new degree of freedom for the design of future…”
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  2. 2

    Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV With Deep Reinforcement Learning by Zeng, Yong, Xu, Xiaoli, Jin, Shi, Zhang, Rui

    “…Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future by reusing the cellular base…”
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  3. 3

    A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model by Xie, Hongxiang, Gao, Feifei, Zhang, Shun, Jin, Shi

    Published in IEEE transactions on vehicular technology (01-04-2017)
    “…This paper proposes a unified transmission strategy for multiuser time division duplex (TDD)/frequency division duplex (FDD) massive…”
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  4. 4

    Channel Estimation and User Localization for IRS-Assisted MIMO-OFDM Systems by Lin, Yuxing, Jin, Shi, Matthaiou, Michail, You, Xiaohu

    “…We consider the channel estimation problem and the channel-based wireless applications in multiple-input multiple-output orthogonal frequency division…”
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  5. 5

    A class of asymptotic-preserving schemes for kinetic equations and related problems with stiff sources by Filbet, Francis, Jin, Shi

    Published in Journal of computational physics (01-10-2010)
    “…In this paper, we propose a general time-discrete framework to design asymptotic-preserving schemes for initial value problem of the Boltzmann kinetic and…”
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  6. 6

    Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis by Guo, Jiajia, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

    “…Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on…”
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  7. 7

    Tensor-Based Algebraic Channel Estimation for Hybrid IRS-Assisted MIMO-OFDM by Lin, Yuxing, Jin, Shi, Matthaiou, Michail, You, Xiaohu

    “…We consider the channel estimation problem in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems assisted by…”
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  8. 8

    Graph Coloring Based Pilot Assignment for Cell-Free Massive MIMO Systems by Liu, Heng, Zhang, Jiayi, Jin, Shi, Ai, Bo

    Published in IEEE transactions on vehicular technology (01-08-2020)
    “…An efficient pilot assignment scheme based on graph coloring is proposed to mitigate the severe pilot contamination effect in cell-free massive multiple-input…”
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  9. 9

    An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques by Wang, Mingjin, Gao, Feifei, Jin, Shi, Lin, Hai

    “…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…”
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  10. 10

    A New View of Multi-User Hybrid Massive MIMO: Non-Orthogonal Angle Division Multiple Access by Hai Lin, Feifei Gao, Shi Jin, Li, Geoffrey Ye

    “…This paper presents a new view of multi-user (MU) hybrid massive multiple-input and multiple-output (MIMO) systems from array signal processing perspective. We…”
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  11. 11

    Active IRS Aided Multiple Access for Energy-Constrained IoT Systems by Chen, Guangji, Wu, Qingqing, He, Chong, Chen, Wen, Tang, Jie, Jin, Shi

    “…In this paper, we investigate the fundamental multiple access (MA) scheme in an active intelligent reflecting surface (IRS) aided energy-constrained…”
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  12. 12

    ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers by Gao, Xuanxuan, Jin, Shi, Wen, Chao-Kai, Li, Geoffrey Ye

    Published in IEEE communications letters (01-12-2018)
    “…In this letter, we propose a model-driven deep learning (DL) approach that combines DL with the expert knowledge to replace the existing orthogonal…”
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  13. 13

    Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels by Zhang, Jiayi, Dai, Linglong, He, Ziyan, Jin, Shi, Li, Xu

    “…The practical deployment of massive multiple-input multiple-output (MIMO) in the future fifth generation (5G) wireless communication systems is challenging due…”
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  14. 14

    Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI by Han, Yu, Tang, Wankai, Jin, Shi, Wen, Chao-Kai, Ma, Xiaoli

    Published in IEEE transactions on vehicular technology (01-08-2019)
    “…Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be…”
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  15. 15

    A Full-Space Spectrum-Sharing Strategy for Massive MIMO Cognitive Radio Systems by Xie, Hongxiang, Wang, Bolei, Gao, Feifei, Jin, Shi

    “…In this paper, we introduce a new spatial spectrum-sharing strategy for massive multiple-input multiple-output (MIMO) cognitive radio (CR) systems. Different…”
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  16. 16

    Sparse Bayesian Learning for the Time-Varying Massive MIMO Channels: Acquisition and Tracking by Ma, Jianpeng, Zhang, Shun, Li, Hongyan, Gao, Feifei, Jin, Shi

    Published in IEEE transactions on communications (01-03-2019)
    “…The low-rank property of the channel covariances can be adopted to reduce the overhead of the channel training in massive MIMO systems. In this paper, with the…”
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  17. 17

    The era of low-permeability sites remediation and corresponding technologies: A review by Zhao, Shan, Zhang, Jian, Feng, Shi-Jin

    Published in Chemosphere (Oxford) (01-02-2023)
    “…Rational utilization of soil resources and remediation of contaminated soils are imperative due to the rapidly growing demand for clean soils. Currently, many…”
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  18. 18

    Deep Learning for Channel Estimation: Interpretation, Performance, and Comparison by Hu, Qiang, Gao, Feifei, Zhang, Hao, Jin, Shi, Li, Geoffrey Ye

    “…Deep learning (DL) has emerged as an effective tool for channel estimation in wireless communication systems, especially under some imperfect environments…”
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  19. 19

    Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels by Wang, Tianqi, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

    Published in IEEE wireless communications letters (01-04-2019)
    “…Massive multiple-input multiple-output (MIMO) systems rely on channel state information (CSI) feedback to perform precoding and achieve performance gain in…”
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  20. 20

    3-D Deployment of UAV Swarm for Massive MIMO Communications by Gao, Ning, Li, Xiao, Jin, Shi, Matthaiou, Michail

    “…We consider the uplink transmission between a multi-antenna ground station and an unmanned aerial vehicle (UAV) swarm. The UAVs are assumed as intelligent…”
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