Flexible Network Slicing Assisted 5G for Video Streaming with Effective and Efficient Isolation

Network slicing assisted 5G is driven by providing a wide range of services that aims to satisfy various pre-service requirements. There is consensus that network slicing is a key enabler for the service-oriented 5G, that aims to cope with the increasing complexity of these networks. One of the major objectives of network slicing is to provide a different level of resource isolation, through resource abstraction and virtualization and the ability to efficiently share network resources. In this paper, we focus on video streaming services in the presence of other services with different QoS requirements. We propose a novel approach for resource sharing that provides interslice protection, flexibility, load-driven elasticity, and network efficiency. In particular, we design two-level multi-scale allocation schedulers for an efficient and low complexity RAN slicing by exploiting the characteristic of adaptive traffic such as video streaming service. Our mathematical analysis and simulation results confirm the benefits of resource abstraction and exhibit the added value of our solution.