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Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G
  Networks: Research Directions for Security and Optimal Control
v1v2 (latest)

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

5 April 2022
Jithin Jagannath
Keyvan Ramezanpour
Anu Jagannath
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control"

4 / 4 papers shown
Title
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles,
  Challenges, and the Role of Machine Learning in the context of O-RAN
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN
Keyvan Ramezanpour
Jithin Jagannath
45
117
0
04 May 2021
Deep Reinforcement Learning for Stochastic Computation Offloading in
  Digital Twin Networks
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai
Ke Zhang
Sabita Maharjan
Yan Zhang
OffRL
42
205
0
17 Nov 2020
Redefining Wireless Communication for 6G: Signal Processing Meets Deep
  Learning with Deep Unfolding
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding
Anu Jagannath
Jithin Jagannath
Tommaso Melodia
AI4TS
46
99
0
22 Apr 2020
Machine Learning for Wireless Communications in the Internet of Things:
  A Comprehensive Survey
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey
Jithin Jagannath
Nicholas Polosky
Anu Jagannath
Francesco Restuccia
Tommaso Melodia
81
231
0
23 Jan 2019
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