Skip to main content
King Abdullah University of Science and Technology
Electrical and Computer Engineering
ECE
Electrical and Computer Engineering
  • Study
    • Prospective Students
    • Current Students
  • Research
    • Research Areas
    • Research Groups
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Administrative Staff
    • Alumni
    • Students
  • News
  • Events
  • About
  • CEMSE Division
  • Apply

network slicing

Enabling Seamless Connectivity via Virtualization Technologies in 6G Integrated Networks

Sahar Ammar, Ph.D. Student, Electrical and Computer Engineering
May 13, 12:00 - 14:00

B1 R4214

Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

This thesis investigates how integrated networks powered by such technologies can be designed and optimized to enable seamless connectivity.

Sahar Ammar

Ph.D. Student, Electrical and Computer Engineering

Optical Wireless Communication Next-generation Wireless Networks Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

Sahar Ammar’s research focuses on network slicing in integrated terrestrial and non-terrestrial networks.

Electrical and Computer Engineering (ECE)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice