Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz
(2022) In IEEE Antennas and Wireless Propagation Letters 21(9). p.1797-1801- Abstract
- This paper presents an analysis of channel characteristics for an outdoor scenario at the frequency band of 28-30 GHz. A geometry-based clustering algorithm is proposed to group the measured multipath components (MPCs) based on the interaction points on the surrounding walls or objects obtained from Ray Tracing 3-D simulations, which is more physically interpretable than the traditional clustering algorithm. The cluster-level characteristics at a total of 15 positions along a pre-defined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to 7 bounces in NLoS condition) from the interaction objects (IOs) are also investigated.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f6375dca-4b10-468f-a6b7-54460ad2707e
- author
- Zhang, Guojin ; Nielsen, Jesper Odum ; Cai, Xuesong LU ; Pedersen, Gert Frolund and Fan, Wei
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Antennas and Wireless Propagation Letters
- volume
- 21
- issue
- 9
- pages
- 1797 - 1801
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85131840690
- ISSN
- 1548-5757
- DOI
- 10.1109/LAWP.2022.3180179
- language
- English
- LU publication?
- yes
- id
- f6375dca-4b10-468f-a6b7-54460ad2707e
- date added to LUP
- 2022-06-04 17:57:27
- date last changed
- 2022-10-31 14:56:23
@article{f6375dca-4b10-468f-a6b7-54460ad2707e, abstract = {{This paper presents an analysis of channel characteristics for an outdoor scenario at the frequency band of 28-30 GHz. A geometry-based clustering algorithm is proposed to group the measured multipath components (MPCs) based on the interaction points on the surrounding walls or objects obtained from Ray Tracing 3-D simulations, which is more physically interpretable than the traditional clustering algorithm. The cluster-level characteristics at a total of 15 positions along a pre-defined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to 7 bounces in NLoS condition) from the interaction objects (IOs) are also investigated.}}, author = {{Zhang, Guojin and Nielsen, Jesper Odum and Cai, Xuesong and Pedersen, Gert Frolund and Fan, Wei}}, issn = {{1548-5757}}, language = {{eng}}, number = {{9}}, pages = {{1797--1801}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Antennas and Wireless Propagation Letters}}, title = {{Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz}}, url = {{https://lup.lub.lu.se/search/files/119525050/FINAL_VERSION.pdf}}, doi = {{10.1109/LAWP.2022.3180179}}, volume = {{21}}, year = {{2022}}, }