Name
Abstract | ||
|---|---|---|
Wi-Fi is the preferred way of accessing the internet for many devices at home, but it is vulnerable to performance problems. In this work, we propose a method to estimate the link capacity of a Wi-Fi link using physical layer metrics passively sampled on commodity access points. We build a model that predicts the maximum UDP throughput a device can sustain, which extends previous models to consider IEEE 802.11n optimizations such as frame aggregation. We validate our model through controlled experiments in an anechoic chamber. Over 95% of the link capacity predictions present errors below 5% when using our model with reference data. We show how link capacity estimation enables Wi-Fi diagnosis in two case studies where we predict the available bandwidth under microwave interference and in an office environment. |
Year | Venue | Field |
|---|---|---|
2016 | TMA | Reference data (financial markets),Computer science,Computer network,Real-time computing,Anechoic chamber,Physical layer,Bandwidth (signal processing),Frame aggregation,Interference (wave propagation),Throughput,The Internet |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego N. da Hora | 1 | 36 | 4.25 |
| Renata Teixeira | 2 | 1636 | 100.35 |
| Karel van Doorselaer | 3 | 9 | 2.41 |
| Koen Van Oost | 4 | 0 | 1.01 |
| Christophe Diot | 5 | 7831 | 590.69 |