Shaping QoE in the 5G ecosystem

5G is rapidly moving from vision to reality and there is already some consensus regarding the technical requirements of 5G. Traditionally, performance monitoring based on existing standards has been focusing on technical Key Performance Indicators (KPIs). However, it is actually more important to focus on Quality of Experience (QoE) directly. Service delivery in 5G should account for the sheer diversity of existing and emerging use cases as well as for the vast variety of demands per service type. These requirements would only be addressed by a shift from system-centric to user-centric architectures. Given this background, this paper aims to push towards integrating QoE requirements in the 5G ecosystem, and to highlight the importance of network designs that have the enduser at their epicenter. To this end, we identify and analyze the essential must-have attributes that can shape QoE-centric networks and discuss how they fit in the 5G big picture. Then we describe current and emerging technological enablers of QoE in 5G, as well as important challenges towards achieving this goal.

[1]  Phuoc Tran-Gia,et al.  Investigation of Different Approaches for QoE-Oriented Scheduling in OFDMA Networks , 2013, MONAMI.

[2]  Federico Boccardi,et al.  Downlink and Uplink Decoupling: A disruptive architectural design for 5G networks , 2014, 2014 IEEE Global Communications Conference.

[3]  Christos V. Verikoukis,et al.  Quality of Experience for Spatial Cognitive Systems within Multiple Antenna Scenarios , 2013, IEEE Transactions on Wireless Communications.

[4]  Markus Fiedler,et al.  Requirement driven prospects for realizing user-centric network orchestration , 2014, Multimedia Tools and Applications.

[5]  Raimund Schatz,et al.  Quantifying the impact of network bandwidth fluctuations and outages on Web QoE , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).

[6]  Tobias Hoßfeld,et al.  From Packets to People: Quality of Experience as a New Measurement Challenge , 2013, Data Traffic Monitoring and Analysis.

[7]  Christos V. Verikoukis,et al.  An SDN QoE-service for dynamically enhancing the performance of OTT applications , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).

[8]  Raimund Schatz,et al.  On the quest for new KPIs in mobile networks: The impact of throughput fluctuations on QoE , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[9]  Peter Reichl,et al.  The trouble with choice: An empirical study to investigate the influence of charging strategies and content selection on QoE , 2013, Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013).

[10]  Gerd Zimmermann,et al.  METIS research advances towards the 5G mobile and wireless system definition , 2015, EURASIP J. Wirel. Commun. Netw..

[11]  Raimund Schatz,et al.  The influence of network quality fluctuations on Web QoE , 2014, 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX).

[12]  Markus Fiedler,et al.  A generic quantitative relationship between quality of experience and quality of service , 2010, IEEE Network.

[13]  Raimund Schatz,et al.  Evaluating the impact of expectations on end-user quality perception , 2017 .

[14]  Dipankar Raychaudhuri,et al.  Frontiers of Wireless and Mobile Communications , 2012, Proceedings of the IEEE.

[15]  Michael Seufert,et al.  The Impact of Adaptation Strategies on Perceived Quality of HTTP Adaptive Streaming , 2014, VideoNext '14.

[16]  Peter Reichl,et al.  Logarithmic laws in service quality perception: where microeconomics meets psychophysics and quality of experience , 2013, Telecommun. Syst..