Experiment title: Dynamic Quality User Experience ENabling Mobile Multimedia Services – QUEENS
Institute of Communication and Computer Systems – ICCS
VELTI SA of Software Products & Related Products & Services – VELTI
TEFIS Testbeds involved : Botnia Living Lab, PlanetLab SQS IMS testbed
Short description about the experiment and the application/solution being developed /tested:
QUEENS aims at establishing, assessing, evolving and prototyping a novel framework/mechanism for extending QoS (Quality of Service) to QoE (Quality of Experience) in mobile wireless networks, placing emphasis on mobile on-demand multimedia applications over wireless networking paradigms and thus, under a realistic environment. Instead of viewing QoE as an off-line apriori mapping between users’ subjective perspective of their service quality and specific networking metrics, QUEENS vision is to treat QoE provisioning as a dynamic process that enables users to express their preference with respect to the instantaneous experience of their service performance at: a) multimedia application’s content server and b) wireless access network’s radio resource management (RRM) mechanisms.
Problems to be solved/what to be tested:
QUEENS key objectives of the overall experiment process include:
- Establishing and justifying a flexible light-weighted user feedback mechanism (UI) to efficiently collect a mobile user’s opinion for his current service performance experience and/or expectation.
- Establishing a strong and concrete correlation between mobile end-users’ perspective of their multimedia service experience and corresponding service performance characteristics.
- Introducing and exploiting of service/application level performance metrics, as well as dynamic users’ experience preferences, to the radio resource management mechanisms that enable QoS-aware resource allocation/management over a wireless system.
- Establishing and testing a novel top-down cross layering mechanism i.e., QoE-aware resource allocation/management, towards allowing the proficient dynamic adaptation of the resource allocation process of a) the multimedia application server and b) the radio access network.
- Devising, enabling and validating a prototype of the proposed QoE-aware mobile application.
- Appling the produced prototype over a real network with real users towards the pragmatic evaluation of the proposed QoE-aware mechanism. This will enable:
- Proposed prototype mechanism/application efficacy assessment;
- Correlation of the proposed mechanism with realistic pricing schemes and thus, the validation of the expected socio-economic impact;
- Analysis of the expected benefits from the point of view of a) Operators, b) Content Providers, and c) End-Users.
Testbeds involved in the experiment and what kind of support do they provide for the experiment:
Botnia Living Lab: Towards achieving the overall QUEENS experiment, a video player application will be implemented allowing the users to interact with the video currently watched and request for different quality of service towards increasing their QoE. Therefore the use of real users the Botnia Living Lab provides is a prerequisite towards obtaining a realistic and pragmatic view of users’ requirements, expectations and interactions.
PlanetLab: PlanetLab’s distributed nature, comprising of tons of nodes geographically separated communicating under real life networking conditions makes it ideal for emulating a complete end-to-end network (from the video server to the end mobile user) and evaluating the efficacy and performance of our dynamic utility adaptation scheme.
SQS IMS Testbed: The proposed mobile QoE-aware multimedia application will be prototyped and end-to-end validated via SQS IMS Testbed towards assuring its compliance with the reference protocols and standards, as well as its interoperability on a realistic environment. This phase will allow us to highlight the envisioned mechanism’s interconnection, co-operation and seamless integration with existing architectures and systems (e.g., 3GPP/LTE), towards realizing pragmatic innovations and outcomes.
Expected benefits from TEFIS:
QUEENS experimental process is founded on the loop “experiment-assessment-evolution-feedback”. To efficiently lever overall experiment’s complexity, its separation into distinct, complementary and well correlated phases is envisioned. Each phase is characterized by a clear measurable goal, a detailed workplan, which requires the use of one or more TEFIS testbed facilities and anticipates a practical expected outcome. Furthermore, the outgrowth of each phase will be used as the basis for the next one. In that spirit, TEFIS provides a unique experimental facility based on established and emerging heterogeneous systems and technologies, that allows to correlate and test behaviours of all the various actors involved in the future networking and communication paradigms (e.g. actual mobile end users, networking emulation platforms, etc.) and addressing the full development lifecycle of innovative services with the appropriate tools and testing methodologies.
Contact to know more:
Aristomenopoulos Giorgos email@example.com
G. Aristomenopoulos, T. Kastrinogiannis, V. Kaldanis, G. Karantonis and S. Papavassiliou, “A Novel Framework for Dynamic Utility-Based QoE Provisioning in Wireless Networks,” in Proc. of IEEE Globecom 2010.
G. Aristomenopoulos, T. Kastrinogiannis, Zhaojun Li, and S. Papavassiliou, “An Autonomic QoS-centric Architecture for Integrated CDMA/WLAN Networks,” Mobile Networks and Applications Journal (MONET) Journal, Springer, 2011.
E. Jammeh, I. Mkwawa, A. Khan, M. Goudarzi, L. Sun and E. Ifeachor, “Quality of experience (QoE) driven adaptation scheme for voice/video over IP”, Telecommunications Systems Journal, Springer Editions, Special Issue on the “Quality of Experience issues in Multimedia Provision”, June 2010
A.Khan, L. Sun, E. Jammeh and E. Ifeachor, “QoE-driven Adaptation Scheme for Video Applications over Wireless Networks” IET Com. Special Issue on “Video com. over wireless net.”,vol.4,no.1,pp.1337–1347,2010.
M. Volk, J. Sterle, U. Sedlar, A. Kos, A, “An approach to modeling and control of QoE in next generation networks”, IEEE Communications Magazine, Vol. 48, Issue 8, p.p. 126, 2010.