Dynamic Channel Modeling for Indoor Millimeter-Wave Propagation Channels Based on Measurements
(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
- Cai, Xuesong LU ; Zhang, Guojin ; Zhang, Chao LU ; Fan, Wei ; Li, Jinxing and Pedersen, Gert Frolund
- organization
- publishing date
- 2020-09
- 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}}, }