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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

3 December 2018
Zhiyuan Jiang
Sheng Chen
A. Molisch
R. Vannithamby
Sheng Zhou
Z. Niu
ArXiv (abs)PDFHTML

Papers citing "Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach"

4 / 4 papers shown
Title
Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction
Yiyong Sun
Jiajun He
Zhidi Lin
Wenqiang Pu
Feng Yin
Hing Cheung So
174
1
0
18 Nov 2024
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource
  Allocation
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Hamza Khan
M. Butt
S. Samarakoon
P. Sehier
M. Bennis
57
18
0
12 Mar 2020
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
32
25
0
13 Feb 2020
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A
  Deep Learning Approach
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
Ahmet M. Elbir
Anastasios K. Papazafeiropoulos
43
110
0
11 Nov 2019
1