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QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement
  Learning

QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning

13 October 2019
Nof Abuzainab
T. Erpek
Kemal Davaslioglu
Y. Sagduyu
Yi Shi
Sharon J. Mackey
Mitesh P. Patel
Frank Panettieri
M. A. Qureshi
Volkan Isler
Aylin Yener
ArXiv (abs)PDFHTML

Papers citing "QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning"

9 / 9 papers shown
Title
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting
  in Jamming Mitigation
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
Kemal Davaslioglu
Sastry Kompella
T. Erpek
Y. Sagduyu
43
1
0
14 Oct 2024
Deep Reinforcement Learning for Power Control in Next-Generation WiFi
  Network Systems
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems
Ziad El Jamous
Kemal Davaslioglu
Y. Sagduyu
54
3
0
02 Nov 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
122
4
0
22 Mar 2022
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
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A
  Comprehensive Survey
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
Hossein Pirayesh
Huacheng Zeng
AAML
112
338
0
01 Jan 2021
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in
  Physical Layer
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
Wei Cui
Wei Yu
30
10
0
22 Dec 2020
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio
  Access Network Slicing
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing
Yi Shi
Y. Sagduyu
T. Erpek
53
56
0
14 Sep 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges,
  and Research Directions
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
Y. Sagduyu
Yi Shi
T. Erpek
William C. Headley
Bryse Flowers
G. Stantchev
Zhuo Lu
AAML
79
39
0
24 Jan 2020
Real-Time and Embedded Deep Learning on FPGA for RF Signal
  Classification
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
S. Soltani
Y. Sagduyu
Raqibul Hasan
Kemal Davaslioglu
Hongmei Deng
T. Erpek
48
32
0
13 Oct 2019
1