A survey on parametric QoE estimation for popular services

Abstract

As we are moving forward to the 5G era, we are witnessing a transformation in the way networks are designed and behave, with the end-user placed at the epicenter of any decision. One of the most promising contributors towards this direction is the shift from Quality of Service (QoS) to Quality of Experience (QoE) service provisioning paradigms. QoE, i.e., the degree of delight or annoyance of a service as this is perceived by the end-user, paves the way for flexible service management and personalized quality monitoring. This is enabled by exploiting parametric QoE assessment models, namely specific formula-based QoE estimation methods. In this paper, recognizing a gap in the literature between the lack of a proper manual regarding the objective QoE estimation and the ever increasing interest from network stakeholders for QoE intelligence, we provide a comprehensive guide to standardized and state-of-the-art quality assessment models. More specifically, we identify and describe parametric QoE formulas for the most popular service types (i.e., VoIP, online video, video streaming, web browsing, Skype, IPTV and file download services), indicating the key performance indicators (KPIs) and major configuration parameters (MCPs) per type. Throughout the paper, it is revealed that KPIs and MCPs are highly variant per service type, and that, even for the same service, different factors contribute with a different weight on the perceived QoE. This finding can strongly enable a more meaningful resource provisioning across different applications compared to QoE-agnostic schemes. Overall, this paper is a stand-alone, self-contained repository of QoE assessment models for the most common applications, becoming a handy tutorial to parties interested in delving more into QoE network management topics.

QoE provisioning over mobile networks: The CASPER perspective

“…CASPER moves beyond theoretical analysis and focus on the applicability of research findings into an integrated middleware architecture, following industrial requirements and recent standardization activity. The user-centric logic of the CASPER project is based on a deep analysis of the QoE, adopted mainly by the works in [5][6][7] [8], combined with the flexibility and re-configurability provided by the SDN/NFV technology in a bidirectional manner to acquire QoE influence factors from anchor points in the network and to apply QoE-driven network and service management policies.…”

“…This section presents and analyze the KPIs related to QoE functions. The most important KPIs for the end-users' QoE are depicted in Table I [5]. The improvement of one or more of these parameters indicates that QoE will be also improved, and thus, network engineering targeted on these factors should be conducted.…”

Network Performance Criteria for Telecommunication Traffic Types driven by Quality of Experience

“…A study of VoIP QoE evaluation approaches is detailed in [19]. In [20], details are provided of parametric QoE models for a range of popular voice, video, and data services. within addition to presenting models from the literature, it describes standardized ITU-T parametric network planning models for VoIP and online videophone applications, and gives their numerical results; in particular, the dependency of VoIP QoE (MOS) on delay and on packet loss, and the dependency of video QoE on audio/video delay, on packet loss, and on video frame rate requirements.…”

QoS Based IPTV over LTE-WLAN Heterogeneous Networks

“…This technique permits the user to select the next wireless LAN to reach depending on its power, congestion and bit error rate. Tsolkas et al (2017), the authors furnish a detailed guide to standardized and cutting edge quality evaluation models. They also single out and typify the parametric Quality of Experience (QoE) form for the most of famous service types (i.e., VoIP, video streaming, online video, etc.…”