论文标题
痕量驱动Wi-Fi仿真的挑战
The Challenges of Trace-Driven Wi-Fi Emulation
论文作者
论文摘要
Wi-Fi链接是不可预测的，并且从来都无法完美地测量它。总会有一些偏见。随着无线成为首选介质，捕获Wi-Fi痕迹以评估，调整和调整不同的应用程序和协议非常有用。已经使用了几种方法来实验不同的无线条件：模拟，实验和痕量驱动仿真。在本文中，我们认为痕量驱动的仿真是最有利的方法。在没有用于Wi-Fi的微量驱动仿真工具的情况下，我们评估了用于蜂窝网络的最先进的痕量驱动仿真工具，并确定Wi-Fi的问题：干扰并发流量，如果在上行链路上进行了测量，请干扰其自身的流量，并同时使用链路链路链路链路链路链接以及包装丢失。我们提供了一个扎实的论点，即为什么该工具无法有效捕获Wi-Fi痕迹。我们的分析结果指导我们提出一些有关如何调整现有工具以准确捕获Wi-Fi痕迹的建议。
Wi-Fi link is unpredictable and it has never been easy to measure it perfectly; there is always bound to be some bias. As wireless becomes the medium of choice, it is useful to capture Wi-Fi traces in order to evaluate, tune, and adapt the different applications and protocols. Several methods have been used for the purpose of experimenting with different wireless conditions: simulation, experimentation, and trace-driven emulation. In this paper, we argue that trace-driven emulation is the most favorable approach. In the absence of a trace-driven emulation tool for Wi-Fi, we evaluate the state-of-the-art trace-driven emulation tool for Cellular networks and we identify issues for Wi-Fi: interference with concurrent traffic, interference with its own traffic if measurements are done on both uplink and downlink simultaneously, and packet loss. We provide a solid argument as to why this tool falls short of effectively capturing Wi-Fi traces. The outcome of our analysis guides us to propose a number of suggestions on how the existing tool can be tweaked to accurately capture Wi-Fi traces.
