Enabling IoT self-localization using ambient 5G mmWave signals

Junfeng Guan; Suraj Jog; Sohrab Madani; Ruochen Lu; Songbin Gong; Deepak Vasisht; Haitham Hassanieh

doi:10.1145/3546037.3546061

Enabling IoT self-localization using ambient 5G mmWave signals

Junfeng Guan, Suraj Jog, Sohrab Madani, Ruochen Lu, Songbin Gong, Deepak Vasisht, Haitham Hassanieh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	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
Number of pages	3
ISBN (Electronic)	9781450394345
DOIs	https://doi.org/10.1145/3546037.3546061
State	Published - Aug 22 2022
Event	2022 ACM Special Interest Group on Data Communication Conference, SIGCOMM 2022 - Amsterdam, Netherlands Duration: Aug 22 2022 → Aug 26 2022

Publication series

Name	SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022

Conference

Conference	2022 ACM Special Interest Group on Data Communication Conference, SIGCOMM 2022
Country/Territory	Netherlands
City	Amsterdam
Period	8/22/22 → 8/26/22

ASJC Scopus subject areas

Hardware and Architecture
Software
Computer Networks and Communications

Online availability

10.1145/3546037.3546061

Library availability

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Guan, J., Jog, S., Madani, S., Lu, R., Gong, S., Vasisht, D., & Hassanieh, H. (2022). Enabling IoT self-localization using ambient 5G mmWave signals. In SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022 (pp. 49-51). (SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022). Association for Computing Machinery. https://doi.org/10.1145/3546037.3546061

Enabling IoT self-localization using ambient 5G mmWave signals. / Guan, Junfeng; Jog, Suraj; Madani, Sohrab et al.
SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022. Association for Computing Machinery, 2022. p. 49-51 (SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guan, J, Jog, S, Madani, S, Lu, R, Gong, S , Vasisht, D & Hassanieh, H 2022, Enabling IoT self-localization using ambient 5G mmWave signals. in SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022. SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022, Association for Computing Machinery, pp. 49-51, 2022 ACM Special Interest Group on Data Communication Conference, SIGCOMM 2022, Amsterdam, Netherlands, 8/22/22. https://doi.org/10.1145/3546037.3546061

Guan J, Jog S, Madani S, Lu R, Gong S , Vasisht D et al. Enabling IoT self-localization using ambient 5G mmWave signals. In SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022. Association for Computing Machinery. 2022. p. 49-51. (SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022). doi: 10.1145/3546037.3546061

Guan, Junfeng ; Jog, Suraj ; Madani, Sohrab et al. / Enabling IoT self-localization using ambient 5G mmWave signals. SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022. Association for Computing Machinery, 2022. pp. 49-51 (SIGCOMM 2022 Demos and Posters - Proceedings of the 2022 SIGCOMM 2022 Poster and Demo Sessions, Part of SIGCOMM 2022).

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Enabling IoT self-localization using ambient 5G mmWave signals

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