Events

Webinar: Network Digital Twins & 5G Urban Mobility

April 29, 2021

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Why Network Digital Twins are essential for 5G Urban Mobility in the Age of Autonomous Systems?

During this webinar, we will highlight some key features and benefits of digital twin solutions to support 5G Urban Mobility.

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AGENDA:

Introduction by ST Engineering Antycip and partner SCALABLE Network Technologies

  • SCALABLE Capabilities
  • Network Digital Twin: Product Ecosystem
  • Preparing for the 5G Future
  • 5G Model Enhancements: Beamforming and Network Slicing
  • EXata 5G: Assess Resilience of the Ubiquitous Wireless Network
  • EXata 5G: RAN and Protocol Level Cyber Resilience
  • Demo: 5G Urban Mobility Scenario

Conclusion

Q&A session

In partnership with 

SCALABLE_logo

GUEST SPEAKERS:

Dr. Chung-Yu Lou

Dr. Chung-Yu Lou

Senior Software Engineer @SCALABLE Network Technologies

Dr. Chung-Yu Lou is a Senior Software Engineer at Scalable Network Technologies. He received his M.S. and Ph.D. in Electrical Engineering from the University of California, Los Angeles, in 2009 and 2015, respectively. His research interests include wireless communication systems, optimization, signal processing, and machine learning. He has extensive experience in physical layer modeling and abstraction. Dr. Lou has participated in projects involving modeling of tactical ad hoc networks, identification friend or foe (IFF), and automatic dependent surveillance-broadcast (ADS-B) systems. He has also led commercial waveform model development, including Bluetooth, WiFi, and 5G.

Miguel Tinoco

Miguel Tinoco

Application Engineer Manager @SCALABLE Network Technologies

Miguel Tinoco  is an Application Engineer Manager at SCALABLE Network Technologies. He received his B.S. in Computer Engineering from the University of California, Santa Barbara, in 2006. He has been part of the SCALABLE team for over 15. His research interests include network simulation and emulation with a main focus on networking protocol programming.

Time: April 29th, 2021 @4.00pm CET

Duration: 1h 

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