Machine Learning Methods for Slice Admission in 5G Networks Page 1 OECC/PSC 2019 ©IEICE
Machine Learning Methods for Slice Admission in 5G Networks Muhammad Rehan Raza1 …

We present a slice admission policy based on reinforcement learning able to maximize the
profit of an infrastructure provider. Results show that when tenants request slices with …

In 5G-and-beyond networks, the concept of Network Slicing is used to support multiple
independent and co-existing logical networks on a physical network infrastructure. The …

Malicious co-residency in virtualized networks poses a real threat. The next-generation
mobile networks heavily rely on virtualized infrastructure, and network slicing has emerged …

Network slicing can enable operators to maximize revenue by optimizing the utilization of
network resources. As a result, slice admission control and resource allocation decisions …

Network slicing is a key concept in 5G networking. It enables an infrastructure provider (InP)
to support heterogeneous services over a common platform by creating a customized slice …

Network slicing to support multi-tenancy plays a key role in improving the performance of 5G
networks. In this paper, we propose a reservation-based framework to activate a subset of …

Network Slicing (NS) provides a new business model to the Infrastructure Providers (InP),
where multiple tenants request the InP to provide services to its customers. InP decides …

Network slicing enables wireless networks to support various use cases by slicing an
infrastructure network into multiple dedicated logical networks. From the perspective of …

5G will serve heterogeneous demands in terms of data-rate, reliability, latency, and
efficiency. Mobile operators shall be able to serve all of these requirements using shared …