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Contention Window Optimization in IEEE 802.11ax Networks with Deep
  Reinforcement Learning

Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning

3 March 2020
Witold Wydmański
S. Szott
ArXivPDFHTML

Papers citing "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning"

4 / 4 papers shown
Title
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for
  radio resource scheduling in the 5G MAC layer
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
F. Al-Tam
N. Correia
Jonathan Rodriguez
32
58
0
24 Mar 2020
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems
  Exploiting Deep Reinforcement Learning
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
Chongwen Huang
Ronghong Mo
Chau Yuen
39
581
0
24 Feb 2020
Distributed learning of deep neural network over multiple agents
Distributed learning of deep neural network over multiple agents
O. Gupta
Ramesh Raskar
FedML
OOD
54
603
0
14 Oct 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
82
1,313
0
12 Mar 2018
1