Search Results - "Gui, Guan"

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  1. 1

    Compressive Sampling Framework for 2D-DOA and Polarization Estimation in mmWave Polarized Massive MIMO Systems by Wen, Fangqing, Gui, Guan, Gacanin, Haris, Sari, Hikmet

    “…The polarized massive multiple-input multiple-output (MIMO) technique has been regarded as a promising solution to millimeter wave (mmWave) communication…”
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  2. 2

    A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges by Xu, Yongjun, Gui, Guan, Gacanin, Haris, Adachi, Fumiyuki

    Published in IEEE Communications surveys and tutorials (01-01-2021)
    “…In the fifth-generation (5G) mobile communication system, various service requirements of different communication environments are expected to be satisfied. As…”
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  3. 3

    Multi-Task Learning for Generalized Automatic Modulation Classification Under Non-Gaussian Noise With Varying SNR Conditions by Wang, Yu, Gui, Guan, Ohtsuki, Tomoaki, Adachi, Fumiyuki

    “…Automatic modulation classification (AMC) is a critical algorithm for the identification of modulation types so as to enable more accurate demodulation in the…”
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  4. 4

    Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios by Wang, Yu, Liu, Miao, Yang, Jie, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-04-2019)
    “…Automatic modulation recognition (AMR) is an essential and challenging topic in the development of the cognitive radio (CR), and it is a cornerstone of CR…”
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  5. 5

    A New Definition of Fairness for Non-Orthogonal Multiple Access by Gui, Guan, Sari, Hikmet, Biglieri, Ezio

    Published in IEEE communications letters (01-07-2019)
    “…Fairness in non-orthogonal multiple access (NOMA) may be defined in different ways, taking into account the physical layer alone or also including the process…”
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  6. 6

    Deep Learning for an Effective Nonorthogonal Multiple Access Scheme by Gui, Guan, Huang, Hongji, Song, Yiwei, Sari, Hikmet

    Published in IEEE transactions on vehicular technology (01-09-2018)
    “…Nonorthogonal multiple access (NOMA) has been considered as an essential multiple access technique for enhancing system capacity and spectral efficiency in…”
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  7. 7

    Deep Cognitive Perspective: Resource Allocation for NOMA-Based Heterogeneous IoT With Imperfect SIC by Liu, Miao, Song, Tiecheng, Gui, Guan

    Published in IEEE internet of things journal (01-04-2019)
    “…The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile networks and the smart cities. However, considering the large…”
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  8. 8

    Fast Beamforming Design via Deep Learning by Huang, Hao, Peng, Yang, Yang, Jie, Xia, Wenchao, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-01-2020)
    “…Beamforming is considered as one of the most important techniques for designing advanced multiple-input and multiple-output (MIMO) systems. Among existing…”
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  9. 9

    UAV-Relaying-Assisted Secure Transmission With Caching by Cheng, Fen, Gui, Guan, Zhao, Nan, Chen, Yunfei, Tang, Jie, Sari, Hikmet

    Published in IEEE transactions on communications (01-05-2019)
    “…Unmanned aerial vehicle (UAV) can be utilized as a relay to connect nodes with long distance, which can achieve significant throughput gain owing to its…”
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  10. 10

    6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence by Gui, Guan, Liu, Miao, Tang, Fengxiao, Kato, Nei, Adachi, Fumiyuki

    Published in IEEE wireless communications (01-10-2020)
    “…The innovations provided by sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this article based on analysis…”
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  11. 11

    LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing by Wang, Yu, Yang, Jie, Liu, Miao, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-03-2020)
    “…Automatic modulation classification (AMC) is an promising technology for non-cooperative communication systems in both military and civilian scenarios…”
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  12. 12

    Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System by Huang, Hongji, Yang, Jie, Huang, Hao, Song, Yiwei, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-09-2018)
    “…The recent concept of massive multiple-input multiple-output (MIMO) can significantly improve the capacity of the communication network, and it has been…”
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  13. 13

    Deep Learning-Inspired Message Passing Algorithm for Efficient Resource Allocation in Cognitive Radio Networks by Liu, Miao, Song, Tiecheng, Hu, Jing, Yang, Jie, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-01-2019)
    “…Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on optimizing the network performance in cognitive radio networks. In…”
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  14. 14

    Behavioral Modeling and Linearization of Wideband RF Power Amplifiers Using BiLSTM Networks for 5G Wireless Systems by Sun, Jinlong, Shi, Wenjuan, Yang, Zhutian, Yang, Jie, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-11-2019)
    “…Characterization and linearization of RF power amplifiers (PAs) are key issues of fifth-generation wireless communication systems, especially when high…”
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  15. 15

    Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges by Tang, Fengxiao, Mao, Bomin, Kato, Nei, Gui, Guan

    Published in IEEE Communications surveys and tutorials (01-01-2021)
    “…Towards future intelligent vehicular network, the machine learning as the promising artificial intelligence tool is widely researched to intelligentize…”
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  16. 16

    Deep Learning-Based Cooperative Automatic Modulation Classification Method for MIMO Systems by Wang, Yu, Wang, Juan, Zhang, Wei, Yang, Jie, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-04-2020)
    “…Automatic modulation classification (AMC) is one of the most essential algorithms to identify the modulation types for the non-cooperative communication…”
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  17. 17

    Optimal Resource Allocation for Wireless Powered Multi-Carrier Backscatter Communication Networks by Xu, Yongjun, Gui, Guan

    Published in IEEE wireless communications letters (01-08-2020)
    “…Backscatter communication (BackCom) is considered as one of important techniques to extend the lifetime of Internet of Things (IoT). How to achieve resource…”
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  18. 18

    A 3-D Non-Stationary Wideband Geometry-Based Channel Model for MIMO Vehicle-to-Vehicle Communications in Tunnel Environments by Jiang, Hao, Zhang, Zaichen, Wu, Liang, Dang, Jian, Gui, Guan

    Published in IEEE transactions on vehicular technology (01-07-2019)
    “…In this paper, we present a three-dimensional (3-D) wideband geometry-based channel model for multiple-input and multiple-output vehicle-to-vehicle (V2V)…”
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  19. 19

    Compressive Sampled CSI Feedback Method Based on Deep Learning for FDD Massive MIMO Systems by Wang, Jie, Gui, Guan, Ohtsuki, Tomoaki, Adebisi, Bamidele, Gacanin, Haris, Sari, Hikmet

    Published in IEEE transactions on communications (01-09-2021)
    “…Accurate downlink channel state information (CSI) is required to be fed back to the base station (BS) in frequency division duplexing (FDD) massive…”
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  20. 20

    Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions by Huang, Hongji, Guo, Song, Gui, Guan, Yang, Zhen, Zhang, Jianhua, Sari, Hikmet, Adachi, Fumiyuki

    Published in IEEE wireless communications (01-02-2020)
    “…The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, current…”
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