论文标题
NG-SCOPE：Nextg蜂窝网络的细粒遥测
NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks
论文作者
论文摘要
细胞上一跳的准确且高度的通道容量遥测对于有效的运输层协议和尖端应用程序（例如视频按需和录像机）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，能够将蜂窝控制通道中的物理层通道占用读数与更高层的数据包到达统计数据融合并进行准确的容量估计。 NG-SCOPE处理最新的蜂窝创新，例如，当多个基站将其信号汇总在一起以服务于移动用户时。商业蜂窝网络中的端到端实验表明，无线容量随通道质量，活动性，每个细胞内的竞争流量以及聚合细胞的数量而差异很大。我们的实验表明，细胞负荷估计的精度有了显着提高，缺少少于1％的数据容量的检测，与OWL相比，猫头鹰的最新监测最先进的OWL相比，降低了82％。进一步的实验表明，基于移动感的爪子的根平方容量误差为30.5 mbit/s，比ng-scope大3.3倍（9.2 mbit/s）
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 videotelephony. 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 3.3x larger than NG-Scope (9.2 Mbit/s)
