AAP Recommendation

G.1072: Opinion Model Predicting Gaming QoE for Cloud Gaming Services

Study Group
12

Study Period
2017-2020

Consent Date
2019-12-05

Approval Date
2020-01-13

Provisional Name
G.OMG

Input used for Consent
TD 1063R2-GEN

Status
A

IPR
Site

Recommendation ITU-T G.1072 presents an opinion model that predicts the overall gaming Quality of Experience (QoE) of non-expert gamers for cloud gaming services. The model uses an impairment factor approach in which the impact of typical IP network parameters and video encoding parameters on the video and input quality is estimated. The knowledge summarized in ITU-T G.1032 and ITU-T P.809 serves as a basis for the development of the model. The model is a network planning tool which can be used by stakeholders to manage resource allocation and to configure IP-network transmission settings such as the selection of encoding framerates, resolutions, and bitrates, under the assumption that the network is prone to packet loss and latency. Depending on whether the respective stakeholder has a priori knowledge of the type of game being offered through the cloud gaming service, either a default mode, which assumes the game to be highly sensitive towards delays and frame losses as well as highly encoding complex, or an extended mode, which uses adjusted model coeffiecient to increase the prediction accuracy, can be used.

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