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Dynamic Channel Modeling for Indoor Millimeter-Wave Propagation Channels Based on Measurements

Cai, Xuesong LU ; Zhang, Guojin ; Zhang, Chao LU orcid ; Fan, Wei ; Li, Jinxing and Pedersen, Gert Frolund (2020) In IEEE Transactions on Communications 68(9). p.5878-5891
Abstract

In this contribution, a recently conducted measurement campaign for indoor millimeter-wave (mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based channel sounder was exploited to record the channel characteristics at the frequency band from 28-30 GHz. A virtual uniform circular array (UCA) with a radius of 0.25 m was formed using a rotator with 360 steps. Moreover, by taking advantage of fiber-optic technique applied in the channel sounder, measurements at 50 positions were performed from an indoor hall to an indoor corridor along a long pre-defined route. A low-complexity high-resolution propagation estimation (HRPE) algorithm is exploited to estimate the propagation parameters of multipath components... (More)

In this contribution, a recently conducted measurement campaign for indoor millimeter-wave (mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based channel sounder was exploited to record the channel characteristics at the frequency band from 28-30 GHz. A virtual uniform circular array (UCA) with a radius of 0.25 m was formed using a rotator with 360 steps. Moreover, by taking advantage of fiber-optic technique applied in the channel sounder, measurements at 50 positions were performed from an indoor hall to an indoor corridor along a long pre-defined route. A low-complexity high-resolution propagation estimation (HRPE) algorithm is exploited to estimate the propagation parameters of multipath components (MPCs). Based on the HRPE estimation results, a novel clustering identification and tracking algorithm is proposed to trace clusters. Composite channel characteristics, cluster-level characteristics and dynamic (or birth-death) behaviours of the clusters are investigated, which constitute a dynamic model for the indoor mm-wave channel.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
birth-death behavior, clustering, dynamic channel, Millimeter-wave (mm-wave), parameter estimation
in
IEEE Transactions on Communications
volume
68
issue
9
article number
9115069
pages
14 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85091888463
ISSN
0096-1965
DOI
10.1109/TCOMM.2020.3001614
language
English
LU publication?
yes
id
9fa1c1ec-4aa3-432d-b0d0-7eea47d0b0c3
date added to LUP
2020-08-22 11:05:30
date last changed
2022-04-19 00:18:24
@article{9fa1c1ec-4aa3-432d-b0d0-7eea47d0b0c3,
  abstract     = {{<p>In this contribution, a recently conducted measurement campaign for indoor millimeter-wave (mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based channel sounder was exploited to record the channel characteristics at the frequency band from 28-30 GHz. A virtual uniform circular array (UCA) with a radius of 0.25 m was formed using a rotator with 360 steps. Moreover, by taking advantage of fiber-optic technique applied in the channel sounder, measurements at 50 positions were performed from an indoor hall to an indoor corridor along a long pre-defined route. A low-complexity high-resolution propagation estimation (HRPE) algorithm is exploited to estimate the propagation parameters of multipath components (MPCs). Based on the HRPE estimation results, a novel clustering identification and tracking algorithm is proposed to trace clusters. Composite channel characteristics, cluster-level characteristics and dynamic (or birth-death) behaviours of the clusters are investigated, which constitute a dynamic model for the indoor mm-wave channel. </p>}},
  author       = {{Cai, Xuesong and Zhang, Guojin and Zhang, Chao and Fan, Wei and Li, Jinxing and Pedersen, Gert Frolund}},
  issn         = {{0096-1965}},
  keywords     = {{birth-death behavior; clustering; dynamic channel; Millimeter-wave (mm-wave); parameter estimation}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{5878--5891}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Communications}},
  title        = {{Dynamic Channel Modeling for Indoor Millimeter-Wave Propagation Channels Based on Measurements}},
  url          = {{http://dx.doi.org/10.1109/TCOMM.2020.3001614}},
  doi          = {{10.1109/TCOMM.2020.3001614}},
  volume       = {{68}},
  year         = {{2020}},
}