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Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks

Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks

4 December 2018
Sheng Chen
Zhiyuan Jiang
Sheng Zhou
Z. Niu
    LLMSV
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Papers citing "Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks"

3 / 3 papers shown
Title
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave
  Communication Systems
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
Ke Ma
Dongxuan He
Hancun Sun
Zhaocheng Wang
Sheng Chen
72
66
0
08 Jan 2021
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services
  in Vehicular Networks
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
Yan Liu
Zhiyuan Jiang
Shunqing Zhang
Shugong Xu
40
25
0
13 Feb 2020
Exploiting Wireless Channel State Information Structures Beyond Linear
  Correlations: A Deep Learning Approach
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Zhiyuan Jiang
Sheng Chen
A. Molisch
R. Vannithamby
Sheng Zhou
Z. Niu
38
37
0
03 Dec 2018
1