Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios

Radek Zavorka; Ales Prokes; Josef Vychodil; Tomas Mikulasek; Petr Horky; Aniruddha Chandra; Christoph Mecklenbrauker; Jan M. Kelner; Cezary Ziolkowski

doi:10.1109/cama57522.2023.10352767

arXiv · 2503.20358

Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios

Radek Zavorka·Ales Prokes·Josef Vychodil·Tomas Mikulasek·Petr Horky·Aniruddha Chandra·Christoph Mecklenbrauker·Jan M. Kelner·Cezary Ziolkowski

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Abstract

The spatial statistics of radio wave propagation in specific environments and scenarios, as well as being able to recognize important signal components, are prerequisites for dependable connectivity. There are several reasons why in-vehicle communication is unique, including safety considerations and vehicle-to-vehicle/infrastructure communication.The paper examines the characteristics of clustering power delay profiles to investigate in-vehicle communication. It has been demonstrated that the Saleh-Valenzuela channel model can also be adapted for in-vehicle communication, and that the signal is received in clusters with exponential decay. A measurement campaign was conducted, capturing the power delay profile inside the vehicle cabin, and the reweighted l1 minimization method was compared with the traditional k-means clustering techniques.

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Radek Zavorka, Ales Prokes, Josef Vychodil, Tomas Mikulasek, Petr Horky, Aniruddha Chandra, Christoph Mecklenbrauker, Jan M. Kelner, Cezary Ziolkowski. 2025-03-26. Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios. https://doi.org/10.1109/cama57522.2023.10352767

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