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Performance Analysis of Probabilistic Multipath Transmission of Video Streaming Traffic over Multi-Radio Wireless Devices

机译:多无线电无线设备上视频流业务概率多径传输的性能分析

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摘要

Popular smart wireless devices become equipped with multiple radio interfaces. Multihoming support can be enabled to allow for multiple simultaneous associations with heterogeneous networks. In this study, we focus on video streaming traffic and propose analytical approaches to evaluate the packet-level and call-level performance of a multipath transmission scheme, which sends video traffic bursts over multiple available channels in a probabilistic manner. A probability generation function (PGF) and z-transform method is applied to derive the PGF of packet delay and any arbitrary moment in general. Particularly, we can obtain the average delay, delay jitter, and delay outage probability. The essential characteristics of video traffic are taken into account, such as deterministic burst intervals, highly dynamic burst length, and batch arrivals of transmission packets. The video substream traffic resulting from the probabilistic flow splitting is characterized by means of zero-inflated models. Further, the call-level performance, in terms of flow blocking probability and system throughput, is evaluated with a three-dimensional Markov process and compared with that of an always-best access selection. The numerical and simulations results demonstrate the effectiveness of our analysis framework and the performance gain of multipath transmission.
机译:流行的智能无线设备配备了多个无线电接口。可以启用多宿主支持,以允许与异构网络同时进行多个关联。在这项研究中,我们专注于视频流流量并提出分析方法来评估多路径传输方案的数据包级和呼叫级性能,该方案以概率方式在多个可用信道上发送视频业务突发。通常使用概率生成函数(PGF)和z变换方法来得出数据包延迟和任意时刻的PGF。特别是,我们可以获得平均延迟,延迟抖动和延迟中断概率。考虑了视频流量的基本特征,例如确定性突发间隔,高动态突发长度和传输数据包的批量到达。由概率流分割产生的视频子流流量通过零膨胀模型来表征。此外,就呼叫流的性能而言,在流阻塞概率和系统吞吐量方面,可通过三维马尔可夫过程进行评估,并与始终最佳的访问选择进行比较。数值和仿真结果证明了我们分析框架的有效性以及多径传输的性能增益。

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