@inproceedings{f058f8ab54294338bbcf5a301bebea01,
title = "Enabling IoT self-localization using ambient 5G mmWave signals",
abstract = "The small cell size, wide bandwidth, and MIMO antenna arrays in 5G mmWave networks provide great opportunities for IoT localization. However, low-power and low-cost IoT devices are incapable of leveraging these benefits. We present mm-ISLA: a system that enables IoT nodes to localize themselves using ambient 5G mmWave signals without any coordination with the base stations. mm-ISLA leverages MEMS Spike-Train filters to access the wideband 5G signals and estimates the Angle of Departure from the base station MIMO antenna arrays to accurately localize the IoT nodes.",
author = "Junfeng Guan and Suraj Jog and Sohrab Madani and Ruochen Lu and Songbin Gong and Deepak Vasisht and Haitham Hassanieh",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 2022 SIGCOMM Poster and Demo Sessions, SIGCOMM Posters and Demos 2022, part of SIGCOMM 2022 ; Conference date: 22-08-2022 Through 26-08-2022",
year = "2022",
month = oct,
day = "25",
doi = "10.1145/3546037.3546061",
language = "English (US)",
series = "SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022",
publisher = "Association for Computing Machinery",
pages = "49--51",
booktitle = "SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022",
address = "United States",
}