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Flexible Density-based Multipath Component Clustering Utilizing Ground Truth Pose

Whiton, Russ LU ; Chen, Junshi LU and Tufvesson, Fredrik LU orcid (2023) IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Abstract
Accurate statistical characterization of electromagnetic propagation is necessary for the design and deployment of radio systems. State-of-the-art channel models such as the Enhanced COST 2100 Channel Model utilize the concept of clusters of multipath components, and characterize channels by their inter- and intra-cluster statistics. Automatic clustering algorithms have been proposed in literature, but the subjective nature of the problem precludes any from being deemed objectively correct. In this paper, a new algorithm is proposed, based on density-reachability and ground truth receiver pose, with the explicit focus of extracting clusters for the purpose of channel characterization. Measurements of downlink signals from a commercial LTE... (More)
Accurate statistical characterization of electromagnetic propagation is necessary for the design and deployment of radio systems. State-of-the-art channel models such as the Enhanced COST 2100 Channel Model utilize the concept of clusters of multipath components, and characterize channels by their inter- and intra-cluster statistics. Automatic clustering algorithms have been proposed in literature, but the subjective nature of the problem precludes any from being deemed objectively correct. In this paper, a new algorithm is proposed, based on density-reachability and ground truth receiver pose, with the explicit focus of extracting clusters for the purpose of channel characterization. Measurements of downlink signals from a commercial LTE base station by a passenger vehicle driving in an urban environment with a massive antenna array on the roof are used to evaluate the repeatability and intuitiveness of the proposed clustering algorithm. (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2023 98th Vehicular Technology Conference (VTC2023-Fall)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
conference location
Hong Kong, China
conference dates
2023-10-10 - 2023-10-13
language
English
LU publication?
yes
id
c9118fb1-3921-4400-ac0a-d124c824451f
date added to LUP
2023-09-08 13:22:14
date last changed
2023-09-15 10:56:00
@inproceedings{c9118fb1-3921-4400-ac0a-d124c824451f,
  abstract     = {{Accurate statistical characterization of electromagnetic propagation is necessary for the design and deployment of radio systems. State-of-the-art channel models such as the Enhanced COST 2100 Channel Model utilize the concept of clusters of multipath components, and characterize channels by their inter- and intra-cluster statistics. Automatic clustering algorithms have been proposed in literature, but the subjective nature of the problem precludes any from being deemed objectively correct. In this paper, a new algorithm is proposed, based on density-reachability and ground truth receiver pose, with the explicit focus of extracting clusters for the purpose of channel characterization. Measurements of downlink signals from a commercial LTE base station by a passenger vehicle driving in an urban environment with a massive antenna array on the roof are used to evaluate the repeatability and intuitiveness of the proposed clustering algorithm.}},
  author       = {{Whiton, Russ and Chen, Junshi and Tufvesson, Fredrik}},
  booktitle    = {{2023 98th Vehicular Technology Conference (VTC2023-Fall)}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Flexible Density-based Multipath Component Clustering Utilizing Ground Truth Pose}},
  url          = {{https://lup.lub.lu.se/search/files/157774844/Clustering_Paper_2023_09_08_Final_Submission_Version.pdf}},
  year         = {{2023}},
}