# Survey on QoEQoS Correlation Models For Multimedia Services

arXiv: https://arxiv.org/abs/1306.0221 · HTML: https://mlsanity.com/paper/1306.0221/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jun 2013.

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

- [A Brief Survey on Adaptive Video Streaming Quality Assessment](https://mlsanity.com/paper/2202.12987/) (2022)
- [QoS-QoE Translation with Large Language Model](https://mlsanity.com/paper/2604.08703/) (2026)

## Abstract (arXiv)

This paper presents a brief review of some existing correlation models which attempt to map Quality of Service (QoS) to Quality of Experience (QoE) for multimedia services. The term QoS refers to deterministic network behaviour, so that data can be transported with a minimum of packet loss, delay and maximum bandwidth. QoE is a subjective measure that involves human dimensions; it ties together user perception, expectations, and experience of the application and network performance. The Holy Grail of subjective measurement is to predict it from the objective measurements; in other words predict QoE from a given set of QoS parameters or vice versa. Whilst there are many quality models for multimedia, most of them are only partial solutions to predicting QoE from a given QoS. This contribution analyses a number of previous attempts and optimisation techniquesthat can reliably compute the weighting coefficients for the QoS/QoE mapping.