Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz

Guojin Zhang; Jesper Ødum Nielsen; Xuesong Cai; Gert Frølund Pedersen; Wei Fan

doi:10.1109/LAWP.2022.3180179

Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz

Guojin Zhang, Jesper Ødum Nielsen, Xuesong Cai, Gert Frølund Pedersen, Wei Fan

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Abstract

This letter 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) from the interaction points on the surrounding walls or objects according to ray-tracing three-dimensional (3-D) simulations, giving results that are more physically interpretable than the traditional clustering algorithms. The cluster-level characteristics at 15 positions along a predefined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to seven bounces in NLoS scenario) from the interaction objects are also investigated.

Original language	English
Journal	I E E E Antennas and Wireless Propagation Letters
Volume	21
Issue number	9
Pages (from-to)	1797-1801
Number of pages	5
ISSN	1536-1225
DOIs	https://doi.org/10.1109/LAWP.2022.3180179
Publication status	Published - Sep 2022

Keywords

Antenna measurements
Azimuth
Buildings
Clustering algorithms
Clustering methods
Delays
Frequency measurement
Millimeter wave
and radio propagation
dispersion
geometry-based clustering
interaction objects
outdoor measurement
radio propagation
interaction objects (IOs)
outdoor measur ement
Dispersion
millimeter wave (mm-wave)

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10.1109/LAWP.2022.3180179

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title = "Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz",

abstract = "This letter 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) from the interaction points on the surrounding walls or objects according to ray-tracing three-dimensional (3-D) simulations, giving results that are more physically interpretable than the traditional clustering algorithms. The cluster-level characteristics at 15 positions along a predefined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to seven bounces in NLoS scenario) from the interaction objects are also investigated.",

keywords = "Antenna measurements, Azimuth, Buildings, Clustering algorithms, Clustering methods, Delays, Frequency measurement, Millimeter wave, and radio propagation, dispersion, geometry-based clustering, interaction objects, outdoor measurement, radio propagation, interaction objects (IOs), outdoor measur ement, Dispersion, millimeter wave (mm-wave)",

author = "Guojin Zhang and Nielsen, {Jesper {\O}dum} and Xuesong Cai and Pedersen, {Gert Fr{\o}lund} and Wei Fan",

year = "2022",

month = sep,

doi = "10.1109/LAWP.2022.3180179",

language = "English",

volume = "21",

pages = "1797--1801",

journal = "I E E E Antennas and Wireless Propagation Letters",

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TY - JOUR

T1 - Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz

AU - Zhang, Guojin

AU - Nielsen, Jesper Ødum

AU - Cai, Xuesong

AU - Pedersen, Gert Frølund

AU - Fan, Wei

PY - 2022/9

Y1 - 2022/9

N2 - This letter 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) from the interaction points on the surrounding walls or objects according to ray-tracing three-dimensional (3-D) simulations, giving results that are more physically interpretable than the traditional clustering algorithms. The cluster-level characteristics at 15 positions along a predefined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to seven bounces in NLoS scenario) from the interaction objects are also investigated.

AB - This letter 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) from the interaction points on the surrounding walls or objects according to ray-tracing three-dimensional (3-D) simulations, giving results that are more physically interpretable than the traditional clustering algorithms. The cluster-level characteristics at 15 positions along a predefined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to seven bounces in NLoS scenario) from the interaction objects are also investigated.

KW - Antenna measurements

KW - Azimuth

KW - Buildings

KW - Clustering algorithms

KW - Clustering methods

KW - Delays

KW - Frequency measurement

KW - Millimeter wave

KW - and radio propagation

KW - dispersion

KW - geometry-based clustering

KW - interaction objects

KW - outdoor measurement

KW - radio propagation

KW - interaction objects (IOs)

KW - outdoor measur ement

KW - Dispersion

KW - millimeter wave (mm-wave)

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U2 - 10.1109/LAWP.2022.3180179

DO - 10.1109/LAWP.2022.3180179

M3 - Journal article

VL - 21

SP - 1797

EP - 1801

JO - I E E E Antennas and Wireless Propagation Letters

JF - I E E E Antennas and Wireless Propagation Letters

SN - 1536-1225

IS - 9

ER -

Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz

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