A QoE handover architecture for converged heterogeneous wireless networks

  • Authors:
  • Denis Rosário;Eduardo Cerqueira;Augusto Neto;Andre Riker;Roger Immich;Marilia Curado

  • Affiliations:
  • Federal University of Para, Belém, Brazil;Federal University of Para, Belém, Brazil;Federal University of Rio Grande do Norte, Natal, Brazil;University of Coimbra, Coimbra, Portugal;University of Coimbra, Coimbra, Portugal;University of Coimbra, Coimbra, Portugal

  • Venue:
  • Wireless Networks
  • Year:
  • 2013

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Abstract

The convergence of real-time multimedia applications, the increasing coverage of heterogeneous wireless networks and the ever-growing popularity of mobile devices are leading to an era of mobile human-centric multimedia services. In this scenario, heterogeneous communications will co-exist and ensure that the end-user is always best connected. The rigorous networking demands of wireless multimedia systems, beyond quality-oriented control strategies, are necessary to guarantee the best user experience over time. Therefore, the Quality of Experience (QoE) support, especially for 2D or 3D videos in multi-operator environments, remains a significant challenge and is crucial for the success of multimedia systems. This paper proposes a QoE Handover Architecture for Converged Heterogeneous Wireless Networks, called QoEHand. QoEHand extends the Media Independent Handover (MIH)/IEEE 802.21 with QoE-awareness, seamless mobility and video adaptation by integrating a set of QoE-based decision-making modules into MIH, namely a video quality estimator, a dynamic class of service mapping and content adaptation schemes. The QoEHand video estimator, mapping and adaptation components operate by coordinating information about video characteristics, available wireless resources in IEEE 802.11e and IEEE 802.16e service classes, and QoE-aware human experience. The video quality estimator works without the need for any decoding, which saves time and minimises processing overheads. Simulations were carried out to show the benefits of QoEHand and its impact on user perception by using objective and subjective QoE metrics.