Existing cellular communications and the upcoming 5G mobile network requires meeting
high-reliability standards, very low latency, higher capacity, more security, and high-speed …

Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …

Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Network slicing enables multiple virtual networks run on the same physical infrastructure to
support various use cases in 5G and beyond. These use cases, however, have very diverse …

Efficient network slicing is vital to deal with the highly variable and dynamic characteristics of
traffic in 5G networks. Network slicing addresses a challenging dynamic network resource …

Machine learning has the capability to provide simpler solutions to complex problems by
analyzing a huge volume of data in a short time, learning for adapting its functionality to …

With the proliferation of mobile networks, we face strong diversification of services,
demanding the current network to embed more flexibility. To satisfy this daring need …

Network Slicing will play a vital role in enabling a multitude of 5G applications, use cases,
and services. Network slicing functions will provide an end-to-end isolation between slices …

Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …

Network slicing is predetermined to hold up the diversity of emerging applications with
enhanced performance and flexibility requirements in the way of splitting the physical …