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Fast identification and clustering of multipath components for multiband industrial wireless channels

Published online by Cambridge University Press:  03 March 2025

Mengfan Wu*
Affiliation:
Munich Research Center, Huawei Technologies, Munich, Germany School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany
Mate Boban
Affiliation:
Munich Research Center, Huawei Technologies, Munich, Germany
Falko Dressler
Affiliation:
School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany
*
Corresponding author: Mengfan Wu; Email: [email protected]

Abstract

Multipath components (MPCs) are both the challenge and the resources to exploit in high-frequency wireless communication, especially in environments with complex reflections. On the one hand, late-arriving MPCs cause inter-symbol interferences in digital communication. On the other hand, techniques such as multiple-input multiple-output and rake receivers have been widely applied to utilize the information carried in the math-path components. To this end, identifying and clustering MPCs is the foundation for tackling the challenges and boosting the utilization of reliable and correct information. Past research focuses either on extracting the path information or on clustering the extracted components. In this paper, we propose a complete workflow that performs identification as well as clustering of MPCs. We extend our previous work in clustering algorithms to indoor propagation measurements of three different frequency bands, as well as multiple transmitter–receiver locations. We verify that the fast attenuation of terahertz-band signals results in clear separations of peaks in measurements, which in turn facilitates the identification and clustering solutions. The ease of application highlights the wide-applying potential of high-frequency communication.

Type
Research Paper
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with The European Microwave Association.

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