QoE-Based Video Orchestration for 4G Networks

Marcos Carvalho, Vinicius F. e Silva, E. B. Silva, D. Macedo, H. C. D. Resende, J. Márquez-Barja, C. Both, Augusto Zanella Bardini, Juliano Araujo Wickboldt
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引用次数: 2

Abstract

Quality of Experience (QoE) should be the driver for network orchestration in 4G networks. At the same time, the network must be able to cope with high bandwidth requirements from applications such as video streaming, while dealing with a large number of users. This paper proposes a network orchestrator that adjusts network parameters to improve QoE of video streaming. The orchestrator uses Device-to-Device (D2D) communication to improve user’s QoE, also reducing the demand on 4G network. The use of D2D is triggered by a machine learning engine. Experiments made in a physical testbed show an improvement on the mean horizontal video resolution from 768 to 1280 pixels, as well as a decrease of around 90% at the impact on the QoE, considering the number of video resolution changes. Finally, the demand on the network backhaul is decreased by around 38%.
基于qos的4G网络视频业务流程
体验质量(QoE)应该成为4G网络中网络编排的驱动因素。同时,在处理大量用户的同时,网络必须能够应付视频流等应用对带宽的高要求。本文提出了一种通过调整网络参数来提高视频流质量的网络编排器。编排器使用设备到设备(Device-to-Device, D2D)通信来提高用户的QoE,同时也减少了对4G网络的需求。D2D的使用是由机器学习引擎触发的。在物理测试平台上进行的实验表明,考虑到视频分辨率变化的数量,平均水平视频分辨率从768提高到1280像素,并且对QoE的影响降低了约90%。最后,对网络回程的需求减少了约38%。
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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