The proliferation of broadband wireless facilities, together with the demand for multimedia applications, are creating a wireless multimedia era. In this scenario, the key requirement is the delivery of multimedia content with Quality of Service (QoS) and Quality of Experience (QoE) support for thousands of users (and access networks) in broadband in the wireless systems of the next generation. . This paper sets out new QoE-aware packet controller mechanisms to keep video streaming applications at an acceptable level of quality in Worldwide Interoperability for Microwave Access (WiMAX) networks. In periods of congestion, intelligent packet dropper mechanisms for IEEE 802.16 systems are triggered to drop packets in accordance with their impact on user perception, intra-frame dependence, Group of Pictures (GoP) and available wireless resources in service classes. The simulation results show that the proposed solutions reduce the impact of multimedia flows on the user´s experience and optimize wireless network resources in periods of congestion. . The benefits of the proposed schemes were evaluted in a simulated WiMAX QoS/QoE environment, by using the following well-known QoE metrics: Peak Signal-to-Noise Ratio (PSNR), Video Quality Metric (VQM), Structural Similarity Index (SSIM) and Mean Option Score (MOS).
It is expected that multimedia applications will be the most abundant application in the Internet and thousands of new wireless and mobile users will produce and share multimedia streaming content ubiquitously. In this multimedia-aware system, it is important to assure the end-to-end quality level support for video and voice applications in wireless systems. Traditional Quality of Service techniques assure the delivery of those services with packet differentiation assurance and indicate the impact of multimedia traffic only on the network performance; however, they do not reflect the user’s perception. Recent advances in multimedia are exploring new Quality of Experience approaches and including metrics and control schemes in wireless networking systems in order to increase the user´s satisfaction and optimize network resources. Operations based on Quality of Experience can be used as an indicator of how a networking environment meets the end-user’s needs and new assessment and packet control approaches are still important challenges. This chapter presents an overview of the most recent advances and challenges in assessment and traffic conditioner procedures for wireless multimedia streaming systems. In addition, an intelligent packet dropper mechanism for IEEE 802.11e systems is proposed and evaluated by using the Network Simulator 2, real video sequences and Evalvid tool. The benefit and the impact of the proposed solution is evaluated by using well-know objective and subjective Quality of Experience metrics, namely, Peak Signal-to-Noise Ratio, Video Quality Metric, Structural Similarity Index and Mean Option Score.
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