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Inferring Remote Channel State Information: Cramér-Rao Lower Bound and
  Deep Learning Implementation

Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation

4 December 2018
Zhiyuan Jiang
Ziyan He
Sheng Chen
A. Molisch
Sheng Zhou
Z. Niu
ArXiv (abs)PDFHTML

Papers citing "Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation"

4 / 4 papers shown
Title
Predicting the Path Loss of Wireless Channel Models Using Machine
  Learning Techniques in MmWave Urban Communications
Predicting the Path Loss of Wireless Channel Models Using Machine Learning Techniques in MmWave Urban Communications
S. Aldossari
Kwang-Cheng Chen
53
31
0
02 May 2020
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
65
18
0
12 Mar 2020
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
Maximilian Arnold
Sebastian Dörner
Sebastian Cammerer
Sarah Yan
J. Hoydis
S. Brink
45
46
0
08 Jan 2019
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
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