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引用次数: 3

摘要

蜂窝最后一跳的精确和高粒度信道容量遥测对于传输层协议和尖端应用(如视频点播和视频电话)的有效运行至关重要。本文介绍了NG-Scope的设计、实现和实验性能评估,这是第一个这样的遥测工具,能够将来自蜂窝控制信道的物理层信道占用读数与更高层数据包到达统计数据融合在一起,并做出准确的容量估计。NG-Scope处理最新的蜂窝创新,例如当多个基站将信号聚合在一起为移动用户服务时。商用蜂窝网络的端到端实验表明,无线容量随着信道质量、移动性、每个蜂窝内的竞争流量和聚合蜂窝的数量而显著变化。我们的实验表明,该方法显著提高了小区负荷估计的准确性,总体上丢失的数据容量不到1%,与蜂窝监测中最先进的OWL相比减少了82%。进一步的实验表明,基于mobileinsight的CLAW容量均方根误差为30.5 Mbit/s,比NG-Scope (9.2 Mbit/s)大3.3倍。
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NG-Scope
Accurate and highly-granular channel capacity telemetry of the cellular last hop is crucial for the effective operation of transport layer protocols and cutting edge applications, such as video on demand and video telephony. This paper presents the design, implementation, and experimental performance evaluation of NG-Scope, the first such telemetry tool able to fuse physical-layer channel occupancy readings from the cellular control channel with higher-layer packet arrival statistics and make accurate capacity estimates. NG-Scope handles the latest cellular innovations, such as when multiple base stations aggregate their signals together to serve mobile users. End-to-end experiments in a commercial cellular network demonstrate that wireless capacity varies significantly with channel quality, mobility, competing traffic within each cell, and the number of aggregated cells. Our experiments demonstrate significantly improved cell load estimation accuracy, missing the detection of less than 1% of data capacity overall, a reduction of 82% compared to OWL, the state-of-the-art in cellular monitoring. Further experiments show that MobileInsight-based CLAW has a root-mean-squared capacity error of 30.5 Mbit/s, which is 3.3× larger than NG-Scope (9.2 Mbit/s).
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3.20
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