基于移动H.264视频流在线QoE估计的资源分配方案

2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies Pub Date : 2015-09-01 DOI:10.1109/NGMAST.2015.49

M. Alreshoodi, J. Woods, Emad Danish, W. Fernando

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引用次数: 1

摘要

消费者通过无线渠道使用手持设备对多媒体内容的需求正在增加。鉴于高质量视频消费的加速趋势，预计移动设备的功耗将过度增加。本文提出了一种考虑终端用户体验质量(QoE)的移动视频流环境下功率和带宽有效的资源分配方案。QoE已经成为媒体传输技术的主要性能标准。采用基于自适应模糊推理系统(FIS)的客观在线估计模型对QoE进行估计。我们模拟了一个移动视频传输，通过它我们确定了接收器的信噪比和QoE之间的相关性。与基于qos的技术相比，所提出的基于qos的方案能够节省高达33.13%的功率，并授予高达50%的数据位用于传输。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Resource Allocation Scheme Based on Online QoE Estimation of Mobile H.264 Video Streaming

Demand on multimedia content by consumers' handheld devices over wireless channels is on the increase. In view of the accelerated trend towards consumption of high quality video, power utilization by mobile devices is expected to excessively increase. This paper presents a power and bandwidth efficient resource allocation scheme considering the end user's Quality of Experience (QoE) in the context of mobile video streaming. QoE has become the prime performance criterion for media delivery technologies. The QoE is estimated by an objective online estimation model based on adaptive Fuzzy Inference Systems (FIS). We simulate a mobile video transmission through which we identify the correlation between receiver's signal-to-noise ratio and QoE. Compared to QoS-based techniques, the proposed QoE-based scheme enables to save up to 33.13% in power and grant up to 50% more data bits for transmission.

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2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies

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