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Autoencoder-based Communications with Reconfigurable Intelligent Surfaces

Autoencoder-based Communications with Reconfigurable Intelligent Surfaces

T. Erpek
Y. Sagduyu
Ahmed Alkhateeb
Aylin Yener
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Papers citing "Autoencoder-based Communications with Reconfigurable Intelligent Surfaces"

8 / 8 papers shown
Title
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
Brian Kim
Yi Shi
Y. Sagduyu
T. Erpek
S. Ulukus
AAML
49
27
0
16 Sep 2021
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication
Fayçal Ait Aoudia
J. Hoydis
78
90
0
11 Sep 2020
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
Tarun S. Cousik
Vijay K. Shah
Jeffrey H. Reed
T. Erpek
Y. Sagduyu
16
34
0
22 Jun 2020
Deep Learning for Wireless Communications
Deep Learning for Wireless Communications
T. Erpek
Tim O'Shea
Y. Sagduyu
Yi Shi
T. Clancy
55
137
0
12 May 2020
DeepWiFi: Cognitive WiFi with Deep Learning
DeepWiFi: Cognitive WiFi with Deep Learning
Kemal Davaslioglu
S. Soltani
T. Erpek
Y. Sagduyu
35
45
0
29 Oct 2019
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
45
710
0
11 Jul 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
128
2,188
0
02 Feb 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
806
149,474
0
22 Dec 2014