Projecte ofert
Títol: Performance assessment of the one-sided Wi-Fi RTT positioning capability in Android 12 devices
Per assignar-vos el projecte us heu de dirigir al director perquè us l'assigni.
Director: ZOLA, ENRICA VALERIA
Departament: ENTEL
Títol: Performance assessment of the one-sided Wi-Fi RTT positioning capability in Android 12 devices
Data inici oferta: 31-08-2023 Data finalització oferta: 30-03-2024
Estudis d'assignació del projecte:
MU MASTEAM 2015
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Segon director (UPC): MARTIN ESCALONA, ISRAEL | |
| Paraules clau: | |
| IEEE 802.11, indoor positioning, Wi-Fi RTT, Android 12 | |
| Descripció del contingut i pla d'activitats: | |
| Few years ago, Google included IEEE 802.11mc technology in
Android O.S. This amendment was addressed to provide positioning capabilities to the Wi-Fi network so that indoor positioning, where GPS is known not to work properly, becomes possible. Thus, android devices are able to compute the round trip time (RTT) from their location to the place the access points (APs) are. This RTT can be easily turned into a distance measurement and subsequently used for position computation. In Android 12, two additions have been included to the Wi-Fi positioning capabilities: 1. One way RTT. Although Android allows the IEEE 802.11mc technology to be used, it still requires device manufacturers to support the technology. This means that not all the mobile devices nor APs support this technology. This is why Google recently introduced in Android 12 the capability to estimate the range between a station (e.g. a mobile phone) and an access point even though they do not support IEEE 802.11mc. This comes with a degradation of the accuracy, which needs to be assessed. 2. Burst size. Before Android 12, all the IEEE 802.11mc involved a fix-sized burst that consists of 8 FTM frames. This means that in order to get one single RTT estimation, a total amount of 8 FTM frames were required to be exchanged. Android 12 allows to set a specific burst size. Since the more location traffic, the less throughput for regular communication services, the impact of the burst size needs to be evaluated. An Android application will be used to gather the information required to assess the new features introduced by Android 12 in terms of Wi-Fi positioning. These data will be further statistically processed and machine learning algorithms will be applied to refine ranging estimation and assist positioning. Objectives: - Assess the accuracy of the one-way range estimation procedure addressed to non-compliant devices. - Improve the analysis on the impact of the burst size obtained in a recent study. |
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| Orientació a l'estudiant: | |
| Knowledge on Wi-Fi 802.11 protocols | |
| Requereix activitats hardware: No | |
| Requereix activitats software: Sí Sistema operatiu: Disc (Gb): | |
| Horari d'atenció a estudiants per a l'assignació de projecte: Send an email to enrica.zola@upc.edu |
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