Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming

Seonghoon Moon, Juwan Yoo, Songkuk Kim
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引用次数: 5

Abstract

The proliferation of mobile devices such as smartphones and tablet PCs have accelerated the online video consumption over a wireless network. To guarantee the stable HD video streaming, the steady and reliable wireless mesh is necessary to satisfy QoS of real-time video services. In this paper, we propose a reliable video delivery system with the split-layer SVC encoding and real-time adaptive interface selection over LTE and WiFi links. Through the adaptive interface selection, the system aims to ensure the maximizing video quality which the bandwidth of LTE/WiFi accommodates. Additionally, we offer an optimization scheme for mobile users' cost-effectiveness by controlling the interface selection policies based on users' remaining daily or monthly LTE data. We evaluate the proposed system in an emulated and a real-world heterogeneous wireless network environments. The results show that the proposed system not only achieves to guarantee the highest quality of video frames via WiFi and LTE simultaneous connection, but also efficiently saves LTE data consumption for cost-effectiveness to the mobile client.
利用自适应多接口选择提高移动视频流的QoS和成本效率
智能手机和平板电脑等移动设备的普及加速了无线网络上的在线视频消费。为了保证稳定的高清视频流,需要稳定可靠的无线网络来满足实时视频业务的QoS要求。在本文中,我们提出了一种可靠的视频传输系统,采用分层SVC编码和实时自适应接口选择LTE和WiFi链路。通过自适应的接口选择,系统旨在保证LTE/WiFi带宽所能容纳的最大视频质量。此外,我们还根据用户每天或每月的LTE剩余流量控制接口选择策略,为移动用户的成本效益提供了优化方案。我们在模拟和真实的异构无线网络环境中对所提出的系统进行了评估。结果表明,该系统不仅实现了WiFi和LTE同时连接时视频帧的最高质量保证,而且有效地节省了LTE数据消耗,对移动客户端具有成本效益。
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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