FALCON: joint fair airtime allocation and rate control for DASH video streaming in software defined wireless networks
FALCON: joint fair airtime allocation and rate control for DASH video streaming in software defined wireless networks
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FALCON：软件定义无线网络中 DASH 视频流的联合公平播放时间分配和速率控制
DOI：
10.1145/3386290.3396931
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
A. Betzler
中科院分区：
文献类型：
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作者：
Miguel Catalan;Daniel Camps;M. Montagud;A. Betzler
软件定义的无线网络通过应用利用网络资源全局视图的集中式机制，提供了增强特定服务性能的机会。本文介绍了 FALCON，这是一种新颖的解决方案，可联合优化服务器和网络辅助 DASH 视频流的公平通话时间分配和速率建议，从而在客户端之间提供比例公平。由于这个问题是 NP 难题，FALCON 引入了一种新颖的启发式算法，该算法被证明可以在实际时间内实现几乎最优的结果。在模拟超密集机上娱乐系统场景中与三种参考自适应比特率策略（PANDA、BOLA 和 RobustMPC）结合使用时，将评估 FALCON 的性能。获得的结果表明，FALCON 通过最大限度地减少不稳定和缓冲区不足，同时在客户端之间获得公平的视频速率和通话时间分配，提供了显着的好处，从而有助于提高体验质量。
Software Defined Wireless Networks offer an opportunity to enhance the performance of specific services by applying centralized mechanisms which make use of a global view of the network resources. This paper presents FALCON, a novel solution that jointly optimizes fair airtime allocation and rate recommendations for Server and Network Assisted DASH video streaming, providing proportional fairness among the clients. Since this problem is NP-hard, FALCON introduces a novel heuristic algorithm that is proved to achieve almost optimal results in a practical amount of time. The performance of FALCON is evaluated when used in conjunction with three referent Adaptive Bit Rate strategies (PANDA, BOLA and RobustMPC) in a simulated ultra-dense In-flight Entertainment System scenario. The obtained results show that FALCON provides significant benefits by minimizing instability and buffer underruns, while obtaining a fair video rate and airtime allocation among clients, thus contributing to an enhanced Quality of Experience.