A Channel Sounding System for Highly Interfered License-Exempt Frequency Bands

Robert J, Ghany AA, Rauh S, Heuberger A (2018)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 1-8

Conference Proceedings Title: Smart SysTech 2018; European Conference on Smart Objects, Systems and Technologies

Event location: Dresden DE

Abstract

The Internet of Things (IoT) requires connectivity everywhere. An interesting solution to achieve this aim are Low Power Wide Area Networks (LPWAN). Tiny devices with transmit powers of 10 mW are able to transmit sensor data over distances of several kilometers in license-exempt frequency bands. The planning of LPWAN requires suitable channel models, which are currently not available. Hence, extensive channel measurements are required. However, the lack of free unused spectrum for channel sounding close to the typical LPWAN frequency bands requires the use of the license-exempt bands also for the channel sounding. As these bands are also used by other communication systems, significant levels of interference can be expected practically everywhere. Consequently, we developed a channel sounding system based on a software-defined radio approach that is able to provide accurate channel sounding results even in highly interfered license-exempt channels. We present different candidate algorithms that may be suitable to obtain the required robustness and compared them using simulation results. The results show that precise channel sounding is achievable in densely occupied license-exempt channels.

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How to cite

APA:

Robert, J., Ghany, A.A., Rauh, S., & Heuberger, A. (2018). A Channel Sounding System for Highly Interfered License-Exempt Frequency Bands. In Smart SysTech 2018; European Conference on Smart Objects, Systems and Technologies (pp. 1-8). Dresden, DE.

MLA:

Robert, Jörg, et al. "A Channel Sounding System for Highly Interfered License-Exempt Frequency Bands." Proceedings of the Smart SysTech 2018; European Conference on Smart Objects, Systems and Technologies, Dresden 2018. 1-8.

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