Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912294978453504 |
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| author | Zavorka, Radek Prokes, Ales Vychodil, Josef Mikulasek, Tomas Horky, Petr Chandra, Aniruddha Mecklenbrauker, Christoph Kelner, Jan M. Ziolkowski, Cezary |
| author_facet | Zavorka, Radek Prokes, Ales Vychodil, Josef Mikulasek, Tomas Horky, Petr Chandra, Aniruddha Mecklenbrauker, Christoph Kelner, Jan M. Ziolkowski, Cezary |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_20358 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios Zavorka, Radek Prokes, Ales Vychodil, Josef Mikulasek, Tomas Horky, Petr Chandra, Aniruddha Mecklenbrauker, Christoph Kelner, Jan M. Ziolkowski, Cezary Signal Processing 94A40, 94A05, 94A12, 94A17 E.4; H.4.3 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. |
| title | Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios |
| topic | Signal Processing 94A40, 94A05, 94A12, 94A17 E.4; H.4.3 |
| url | https://arxiv.org/abs/2503.20358 |