Network slicing to create multiple virtual networks, called network slice, is a promising
technology to enable networking resource sharing among multiple tenants for the 5th …

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 …

The emerging technology of multi-tenancy network slicing is considered as an essential
feature of 5G cellular networks. It provides network slices as a new type of public cloud …

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 …

Over the last few years, network slicing has been presented as one of the key ingredients in
5G for efficiently specifying network services as per the heterogeneous quality and …

To accommodate different sets of network functions with different quality-of-service
requirements for different types of applications in 5G networks, network slicing, which …

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 promises to provision diversified services with distinct requirements in one
infrastructure. Deep reinforcement learning (eg, deep Q-learning, DQL) is assumed to be an …

Network slicing has been viewed as a key enabler for the next-generation software-defined
and cloud-based network (eg, 5G and beyond) to accommodate diverse services in a …

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 …