Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network

Martin Hedegaard Nielsen; Chia-Yi  Yeh; Ming Shen; Muriel Medard

doi:10.1109/IRMMW-THz57677.2023.10299092

Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network

Martin Hedegaard Nielsen, Chia-Yi Yeh, Ming Shen, Muriel Medard

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

We propose to use a liquid time constant (LTC) network to predict the future blockage status of a millimeter wave (mmWave) link using only the received signal power as the input to the system.
The LTC network is based on an ordinary differential equation (ODE) system inspired by biology and specialized for near-future prediction for time sequence observation as the input.
Using an experimental dataset at 60 GHz, we show that our proposed use of LTC can reliably predict the occurrence of blockage and the length of the blockage without the need for scenario-specific data. The results show that the proposed LTC can predict with upwards of 97.85% accuracy without prior knowledge of the outdoor scenario or retraining/tuning. These results highlight the promising gains of using LTC networks to predict time series-dependent signals, which can lead to more reliable and low-latency communication.

Original language	English
Title of host publication	Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
Number of pages	2
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	Oct 2023
Article number	10299092
ISBN (Print)	979-8-3503-3661-0
ISBN (Electronic)	979-8-3503-3660-3
DOIs	https://doi.org/10.1109/IRMMW-THz57677.2023.10299092
Publication status	Published - Oct 2023
Event	2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Montreal, Canada Duration: 17 Sept 2023 → 22 Sept 2023

Conference

Conference	2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)
Country/Territory	Canada
City	Montreal
Period	17/09/2023 → 22/09/2023

Series	International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)
ISSN	2162-2035

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10.1109/IRMMW-THz57677.2023.10299092

Accepted author manuscriptAccepted author manuscript, 189 KBLicence: CC BY 4.0

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Nielsen, M. H., Yeh, C.-Y., Shen, M., & Medard, M. (2023). Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network. In Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz Article 10299092 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IRMMW-THz57677.2023.10299092

Nielsen, Martin Hedegaard ; Yeh, Chia-Yi ; Shen, Ming et al. / Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network. Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz. IEEE (Institute of Electrical and Electronics Engineers), 2023. (International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)).

@inproceedings{dfa360b5061b4c8590cd1a8329c809ce,

title = "Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network",

abstract = "We propose to use a liquid time constant (LTC) network to predict the future blockage status of a millimeter wave (mmWave) link using only the received signal power as the input to the system. The LTC network is based on an ordinary differential equation (ODE) system inspired by biology and specialized for near-future prediction for time sequence observation as the input.Using an experimental dataset at 60 GHz, we show that our proposed use of LTC can reliably predict the occurrence of blockage and the length of the blockage without the need for scenario-specific data. The results show that the proposed LTC can predict with upwards of 97.85% accuracy without prior knowledge of the outdoor scenario or retraining/tuning. These results highlight the promising gains of using LTC networks to predict time series-dependent signals, which can lead to more reliable and low-latency communication.",

author = "Nielsen, {Martin Hedegaard} and Chia-Yi Yeh and Ming Shen and Muriel Medard",

year = "2023",

month = oct,

doi = "10.1109/IRMMW-THz57677.2023.10299092",

language = "English",

isbn = "979-8-3503-3661-0",

series = "International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)",

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booktitle = "Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz",

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note = "2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) ; Conference date: 17-09-2023 Through 22-09-2023",

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Nielsen, MH, Yeh, C-Y, Shen, M & Medard, M 2023, Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network. in Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz., 10299092, IEEE (Institute of Electrical and Electronics Engineers), International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Montreal, Quebec, Canada, 17/09/2023. https://doi.org/10.1109/IRMMW-THz57677.2023.10299092

Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network. / Nielsen, Martin Hedegaard; Yeh, Chia-Yi; Shen, Ming et al.
Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz. IEEE (Institute of Electrical and Electronics Engineers), 2023. 10299092 (International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network

AU - Nielsen, Martin Hedegaard

AU - Yeh, Chia-Yi

AU - Shen, Ming

AU - Medard, Muriel

PY - 2023/10

Y1 - 2023/10

N2 - We propose to use a liquid time constant (LTC) network to predict the future blockage status of a millimeter wave (mmWave) link using only the received signal power as the input to the system. The LTC network is based on an ordinary differential equation (ODE) system inspired by biology and specialized for near-future prediction for time sequence observation as the input.Using an experimental dataset at 60 GHz, we show that our proposed use of LTC can reliably predict the occurrence of blockage and the length of the blockage without the need for scenario-specific data. The results show that the proposed LTC can predict with upwards of 97.85% accuracy without prior knowledge of the outdoor scenario or retraining/tuning. These results highlight the promising gains of using LTC networks to predict time series-dependent signals, which can lead to more reliable and low-latency communication.

AB - We propose to use a liquid time constant (LTC) network to predict the future blockage status of a millimeter wave (mmWave) link using only the received signal power as the input to the system. The LTC network is based on an ordinary differential equation (ODE) system inspired by biology and specialized for near-future prediction for time sequence observation as the input.Using an experimental dataset at 60 GHz, we show that our proposed use of LTC can reliably predict the occurrence of blockage and the length of the blockage without the need for scenario-specific data. The results show that the proposed LTC can predict with upwards of 97.85% accuracy without prior knowledge of the outdoor scenario or retraining/tuning. These results highlight the promising gains of using LTC networks to predict time series-dependent signals, which can lead to more reliable and low-latency communication.

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M3 - Article in proceeding

SN - 979-8-3503-3661-0

T3 - International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

BT - Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz

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ER -

Nielsen MH, Yeh CY, Shen M, Medard M. Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network. In Proceeding 2023 - 48th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz. IEEE (Institute of Electrical and Electronics Engineers). 2023. 10299092. (International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)). doi: 10.1109/IRMMW-THz57677.2023.10299092

Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network

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