Investigation of Different Approaches for QoE-Oriented Scheduling in OFDMA Networks
QoE- and application-aware scheduling is a new paradigm for mobile communication networks. It aims at making better use of network resources with respect to the perceived quality of the users. To achieve this, it specifies an interaction between application and networking layers. Previous work has shown that such a resource management is possible by the weighting of applications and the definition of key quality indicators. However, quantification of the benefits and the impact on the application itself is hardly studied, since it requires precise modeling of both the data transmission in the mobile network as well as the application itself. In this paper the influence of different cross-layer scheduling heuristics on the application is examined for the air interface of LTE mobile networks. For this, not only the physical data transmission but also the application behavior is simulated in detail for Skype, YouTube, web browsing, and downloads. For each application quality indicators are defined that provide information on the current performance of the application. The investigated scheduling approaches take into account detailed application information of different levels like the application type, the current status of the application, or the ability of an application to adapt to the network situation.
KeywordsPacket Delay Mean Opinion Score Service Class Video Encode Proportional Fair Scheduler
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- 1.Khan, S., Duhovnikov, S., Steinbach, E., Kellerer, W.: MOS-Based Multiuser Multiapplication Cross-Layer Optimization for Mobile Multimedia Communication. Advances in Multimedia 2007 (2007)Google Scholar
- 3.Wamser, F., Staehle, D., Prokopec, J., Maeder, A., Tran-Gia, P.: Utilizing Buffered YouTube Playtime for QoE-oriented Scheduling in OFDMA Networks. In: International Teletraffic Congress (ITC), Krakw, Poland (September 2012)Google Scholar
- 6.Bohnert, T.M., Staehle, D., Kuo, G.-S., Koucheryavy, Y., Monteiro, E.: Speech Quality Aware Admission Control for fixed IEEE 802.16 Wireless MAN. In: IEEE ICC, Beijing, China (May 2008)Google Scholar
- 7.Bohnert, T.M., Staehle, D., Monteiro, E.: Speech Quality Aware Resource Control for Fixed and Mobile WiMAX. In: Marcos Katz, F.F. (ed.) WiMAX Evolution, p. 227. John Wiley and Sons (January 2009)Google Scholar
- 8.3rd Generation Partnership Project., 3GPP TR 22.805 V12.1.0; Feasibility study on user plane congestion management (Release 12), v12.1.0 (December 2012)Google Scholar
- 9.Hoßfeld, T., Schatz, R., Seufert, M., Hirth, M., Zinner, T., Tran-Gia, P.: Quantification of YouTube QoE via Crowdsourcing. In: IEEE International Workshop on Multimedia Quality of Experience - Modeling, Evaluation, and Directions (MQoE 2011), Dana Point, CA, USA (December 2011)Google Scholar
- 10.Egger, S., Hoßfeld, T., Schatz, R., Fiedler, M.: Waiting Times in Quality of Experience for Web Based Services. In: QoMEX 2012, Yarra Valley, Australia (July 2012)Google Scholar
- 12.3GPP Technical Specification Group RAN, E-UTRA; LTE physical layer – general description, 3GPP, Tech. Rep. TS 36.201 Version 8.3.0 (March 2009)Google Scholar
- 13.3GPP Technical Specification Group RAN, E-UTRA; physical channels and modulation, 3GPP, Tech. Rep. TS 36.211 Version 8.7.0 (May 2009)Google Scholar
- 14.3GPP Technical Specification Group RAN E-UTRA; multiplexing and channel coding, 3GPP, Tech. Rep. TS 36.212 (March 2009)Google Scholar
- 15.Winner II consortium, Channel Models Part II: Radio Channel Measurements and Analysis Results, Deliverable 1.1.2,” IST-4-027756 WINNER II, Tech. Rep. (September 2007)Google Scholar
- 16.Zinner, T., Hoßfeld, T., Minash, T.N., Fiedler, M.: Controlled vs. Uncontrolled Degradations of QoE The Provisioning-Delivery Hysteresis in Case of Video. In: New Dimensions in the Assessment and Support of Quality of Experience (QoE) for Multimedia Applications (June 2010)Google Scholar