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

arXiv: https://arxiv.org/abs/2006.09162 · HTML: https://mlsanity.com/paper/2006.09162/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jun 2020.

## Built on by (most cited first, 2 of 2)

- [Measuring and Estimating Key Quality Indicators in Cloud Gaming services](https://mlsanity.com/paper/2212.14073/) (2022)
- [ML-powered KQI estimation for XR services. A case study on 360-Video](https://mlsanity.com/paper/2212.12002/) (2022)

## Abstract (arXiv)

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.