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MilliDrone: a drone platform to facilitate scalable survey of outdoor millimeter-wave signal propagation

Published: 09 March 2022 Publication History

Abstract

Millimeter-Wave (mmWave) networks rely on small, short-range base-stations called “picocells,” which should be placed optimally to be effective. So, extensive surveying must be done in order to ensure there is no significant capacity loss. Existing approaches to conduct indoor surveying do not work outdoors due to many outdoor environmental factors. In this work, we propose MilliDrone, a Drone-based system equipped with a mmWave transceiver and a Guidance platform, and is synchronized to collect depth, greyscale, and mmWave reflection profiles by following a specified programmed path. Using the datasets, we intend to explore a machine-learning model to predict outdoor propagations, and in turn, predict the optimal outdoor picocell placements.

References

[1]
DJI, "Matrice 100 quadcopter for developers," 2015. [Online]. Available: https://www.dji.com/matrice100
[2]
T. Hooks, H. Regmi, and S. Sur, "VisualMM: Visual Data & Learning Aided 5G Picocell Placement," in ACM HotMobile, 2021.
[3]
H. Regmi and S. Sur, "Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation," in ACM SIGMETRICS, 2022.

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  • (2023)MilliPCDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694976:4(1-24)Online publication date: 11-Jan-2023

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  1. MilliDrone: a drone platform to facilitate scalable survey of outdoor millimeter-wave signal propagation

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      cover image ACM Conferences
      HotMobile '22: Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications
      March 2022
      137 pages
      ISBN:9781450392181
      DOI:10.1145/3508396
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 09 March 2022

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      Author Tags

      1. drone
      2. millimeter-wave
      3. picocell deployment
      4. transceivers

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      Overall Acceptance Rate 96 of 345 submissions, 28%

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      • (2023)MilliPCDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694976:4(1-24)Online publication date: 11-Jan-2023

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