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Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave
  Networks

Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks

22 June 2020
Tarun S. Cousik
Vijay K. Shah
Jeffrey H. Reed
T. Erpek
Y. Sagduyu
ArXiv (abs)PDFHTML

Papers citing "Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks"

6 / 6 papers shown
Title
Less Data, More Knowledge: Building Next Generation Semantic
  Communication Networks
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour
Walid Saad
Merouane Debbah
Zhu Han
H. Vincent Poor
GNN3DV
45
132
0
25 Nov 2022
Autoencoder-based Communications with Reconfigurable Intelligent
  Surfaces
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
T. Erpek
Y. Sagduyu
Ahmed Alkhateeb
Aylin Yener
60
7
0
08 Dec 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G
  and Beyond
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Brian Kim
Y. Sagduyu
T. Erpek
S. Ulukus
AAML
78
23
0
25 Mar 2021
Adversarial Machine Learning for 5G Communications Security
Adversarial Machine Learning for 5G Communications Security
Y. Sagduyu
T. Erpek
Yi Shi
AAML
85
43
0
07 Jan 2021
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G
  mmWave Networks
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
Tarun S. Cousik
Vijay K. Shah
T. Erpek
Y. Sagduyu
Jeffrey H. Reed
56
24
0
06 Jan 2021
Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index
  Detection
Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index Detection
Ji Yoon Han
Ohyun Jo
Juyeop Kim
42
13
0
07 Dec 2020
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