Mobi-QoE is a subproject of the EU’s H2020 MONROE (Measuring Mobile Broadband Networks in Europe, https://www.monroe-project.eu/) project. The Mobi-QoE project partners are AIT Austrian Institute of Technology, Vienna, Austria and Prof. Tran-Gia Informationstechnik GmbH.
Project Summary:
Quality of Experience (QoE) is a well-known concept in the networking research community, but its development has been traditionally limited to laboratory studies. We are witnessing a growing demand from mobile operators for more user-centric approaches to manage their networks in an increasingly competitive scenario. This need has boosted the research interest in scaling QoE out of the lab, bringing it into the management of operational networks. This combined industry/research growing interest in QoE-based solutions for network management motivates the Mobi-QoE proposal.
Mobi-QoE proposes both to extend MONROE’s testbed with new software (SW) tools as well as conducting innovative experiments. The first objective of Mobi-QoE is to extend MONROE’s testbed to the QoE domain, by integrating novel SW-based QoE-capable measurement tools and QoE subjective-models to assess the performance of MBB networks for popular end-user services (e.g., YouTube, Facebook, Spotify, etc.) from a user centric perspective. Such tools and models provide a multi-layer monitoring perspective, measuring QoErelevant features at the network and application layers, and forecasting end-user experience (e.g., MOS scores).
The second objective of Mobi-QoE is to evaluate MONROE’s testbed visibility in terms of QoE metrics, relying on crowdsourced field trials. Mobi-QoE plans to evaluate the MONROE QoE capabilities introduced by the Mobi- QoE tools and models, comparing the MONROE-Mobi-QoE forecasted end-user experience to that reported by real MBB users through field trials, conducted with Mobi-QoE tools directly at end-user mobile devices (i.e., smartphones) in areas covered by the MONROE platform. Crowdsourced measurements would allow to further refine the integrated QoE models.
To further show the benefits of the Mobi-QoE extensions to MONROE, the proposal foresees to apply the tools and models to study different MBB measurement problems from a QoE perspective, conducting several experiments. These include: benchmarking ISPs from a QoE perspective, analyzing the impact of mobility on QoE, and detecting and diagnosing QoE-relevant degradation in MBB networks.