The Challenges of Trace-Driven Wi-Fi Emulation

TL;DR

This paper discusses the difficulties in accurately emulating Wi-Fi conditions using trace-driven methods, evaluates existing tools, identifies key issues specific to Wi-Fi, and suggests improvements for better trace accuracy.

Contribution

It provides a critical analysis of current Wi-Fi trace-driven emulation tools and proposes modifications to improve their accuracy in capturing Wi-Fi network characteristics.

Findings

Existing cellular emulation tools are inadequate for Wi-Fi due to interference issues.

Wi-Fi trace measurement is affected by interference and packet loss.

Proposed tweaks can enhance Wi-Fi trace accuracy in emulation tools.

Abstract

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.