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Slicing Wi-Fi links based on QoE video streaming fairness
International Journal of Network Management ( IF 1.5 ) Pub Date : 2021-03-29 , DOI: 10.1002/nem.2155
Mauricio Oliveira 1 , Daniel F. Macedo 1
Affiliation  

Dynamic Adaptive Streaming over HyperText Transfer Protocol (DASH) video streaming is one of the dominant sources of traffic on the Internet, and this traffic is often delivered to users via Wi-Fi access points. This makes the quality of experience (QoE) of the service susceptible to degradation when the Wi-Fi link is underperforming, and it can also inflict QoE unfairness, creating situations where users connected to the same Wi-Fi network feel different levels of QoE. This article presents a system that improves the QoE fairness of DASH video transmission network slicing in the context of Wi-Fi networks. The proposed system slices the wireless resources unevenly among flows, taking into account the characteristics of the video and the QoE demands for each user. Experimental results show that fairness improves by 56% when compared to an unmanaged network, while the mean QoE is reduced by only 5%.

中文翻译:

基于 QoE 视频流公平性的 Wi-Fi 链路切片

基于超文本传输​​协议 (DASH) 的动态自适应流媒体视频流是 Internet 上的主要流量来源之一,并且该流量通常通过 Wi-Fi 接入点传送给用户。这使得当 Wi-Fi 链路性能不佳时,服务的体验质量 (QoE) 容易下降,并且还会造成 QoE 不公平,造成连接到同一 Wi-Fi 网络的用户感受到不同水平的 QoE 的情况。本文介绍了一种提高DASH视频传输网络切片QoE公平性的系统在 Wi-Fi 网络环境中。考虑到视频的特性和每个用户的 QoE 需求,所提出的系统在流之间不均匀地对无线资源进行切片。实验结果表明,与非托管网络相比,公平性提高了 56%,而平均 QoE 仅降低了 5%。
更新日期:2021-03-29
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