Estimation of Video Streaming KQIs for Radio Access Negotiation in Network Slicing Scenarios

TL;DR

This paper proposes a framework to estimate Video Streaming KQIs for network slicing in 5G, aiding resource allocation and quality assurance in mobile networks.

Contribution

It introduces a novel estimator for Video Streaming KQIs based on network parameters, supporting slice negotiation in 5G networks.

Findings

Estimator performs accurately in real cellular scenarios

Supports optimized resource allocation for video services

Enhances quality assurance in network slicing

Abstract

The use of multimedia content has hugely increased in recent times, becoming one of the most important services for the users of mobile networks. Consequently, network operators struggle to optimize their infrastructure to support the best video service-provision. As an additional challenge, 5G introduces the concept of network slicing as a new paradigm that presents a completely different view of the network configuration and optimization. A main challenge of this scheme is to establish which specific resources would provide the necessary quality of service for the users using the slice. To address this, the present work presents a complete framework for this support of the slice negotiation process through the estimation of the provided Video Streaming Key Quality Indicators (KQIs), which are calculated from network low-layer configuration parameters and metrics. The proposed estimator is then evaluated in a real cellular scenario.