Virtualized Network Function

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.

Network Function Virtualization: What, Why and How?

Ahmed E. Kamal, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA.

Nov 24, 11:00 - 12:00

B1 L3 R3119

Virtualized Network Function

The European Telecom Standards Institute (ETSI) introduced the concept of Network Function Virtualization (NFV) with the aim of efficient network architecture and network system operation. In traditional networks, network functions are implemented in dedicated physical machines which are designed for single functionalities. Network services have been provided by connecting these physical machines, so the network architecture has been highly rigid and hard to change. NFV environment provides a more flexible and scalable network configuration and implementation through the softwarization of physical network functions. Network functions are transformed to Virtual Machines (VMs) so that Virtualized Network Functions (VNFs) can be implemented in commodity servers built for common uses, including public clouds.

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.