LPWAN Occupancy Model Parameter Identification for License Exempt sub-GHz Frequency Bands

Rauh S, Robert J, Schadhauser M, Heuberger A (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Event location: Freiburg DE

DOI: 10.23919/gemic.2018.8335041

Abstract

For many applications Low Power Wide Area Net-
works (LPWANs) are an appealing method to provide cost-
efficient connectivity to many small and battery-driven devices
spread over large areas. However, LPWANs are typically oper-
ated in the license exempt sub-GHz frequency bands. This means
they have to share the spectrum with other devices also operated
in these bands, which can impair the LPWAN signals. In order
to analyze the impact of interference on LPWAN signals the
IEEE 802.15 Interest Group LPWA has defined an interference
model that can be used for detailed Physical Layer (PHY)
simulations. In order to define suitable parameter sets for this
interference model we propose a processing framework based on
image processing. This framework allows a broadband analysis
of license exempt frequency bands. It is able to identify signal
parameters such as access length, arrival rate, center frequency,
and bandwidth. These obtained values can then be used as input
parameters of the IEEE 802.15 interference model or other
channel occupancy models. We present exemplary measurement
results that we obtained during a field trial as part of the so-
called Betriebs-Adaptive Tracking Sensorsysteme (BATS) project
in Berlin, Germany and show the derived parameter sets.

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How to cite

APA:

Rauh, S., Robert, J., Schadhauser, M., & Heuberger, A. (2018). LPWAN Occupancy Model Parameter Identification for License Exempt sub-GHz Frequency Bands. In Proceedings of the German Microwave Conference (GeMiC). Freiburg, DE.

MLA:

Rauh, Sebastian, et al. "LPWAN Occupancy Model Parameter Identification for License Exempt sub-GHz Frequency Bands." Proceedings of the German Microwave Conference (GeMiC), Freiburg 2018.

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