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Random Cluster Number Feature and Cluster Characteristics of Indoor Measurement at 28 GHz

Wang, Chao LU ; Zhang, Jianhua and Tufvesson, Fredrik LU orcid (2018) In IEEE Antennas and Wireless Propagation Letters 17(10). p.1881-1884
Abstract

In this letter, we analyze cluster characteristics in mm wave channel characteristics, based on an indoor channel measurement campaign at 28 GHz. The spatial characteristics of clusters are analyzed, and we investigate the CDFs of the intra cluster angular spreads and the number of clusters. Also we introduce the Random Cluster Number (RCN) feature to the primary module of IMT-2020 channel model, which is based on Poisson distribution to simulate the evolution of clusters above 6 GHz to get more close to real channel conditions. In addition, an example of the singular values of channel simulations with and without the RCN feature are given. From the comparisons, we can see the benefits of using the RCN feature in simulations with the... (More)

In this letter, we analyze cluster characteristics in mm wave channel characteristics, based on an indoor channel measurement campaign at 28 GHz. The spatial characteristics of clusters are analyzed, and we investigate the CDFs of the intra cluster angular spreads and the number of clusters. Also we introduce the Random Cluster Number (RCN) feature to the primary module of IMT-2020 channel model, which is based on Poisson distribution to simulate the evolution of clusters above 6 GHz to get more close to real channel conditions. In addition, an example of the singular values of channel simulations with and without the RCN feature are given. From the comparisons, we can see the benefits of using the RCN feature in simulations with the IMT-2020 model.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Antenna arrays, Antenna measurements, Arrays, Azimuth, channel model, Channel models, Delays, IMT-2020, mm wave measurement, Poisson distribution, random cluster
in
IEEE Antennas and Wireless Propagation Letters
volume
17
issue
10
pages
1881 - 1884
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85052880781
ISSN
1536-1225
DOI
10.1109/LAWP.2018.2868808
language
English
LU publication?
yes
id
e1e5a027-d1fd-4377-ad9d-a8cce7e0cce5
date added to LUP
2018-10-12 08:27:32
date last changed
2022-03-25 04:55:15
@article{e1e5a027-d1fd-4377-ad9d-a8cce7e0cce5,
  abstract     = {{<p>In this letter, we analyze cluster characteristics in mm wave channel characteristics, based on an indoor channel measurement campaign at 28 GHz. The spatial characteristics of clusters are analyzed, and we investigate the CDFs of the intra cluster angular spreads and the number of clusters. Also we introduce the Random Cluster Number (RCN) feature to the primary module of IMT-2020 channel model, which is based on Poisson distribution to simulate the evolution of clusters above 6 GHz to get more close to real channel conditions. In addition, an example of the singular values of channel simulations with and without the RCN feature are given. From the comparisons, we can see the benefits of using the RCN feature in simulations with the IMT-2020 model.</p>}},
  author       = {{Wang, Chao and Zhang, Jianhua and Tufvesson, Fredrik}},
  issn         = {{1536-1225}},
  keywords     = {{Antenna arrays; Antenna measurements; Arrays; Azimuth; channel model; Channel models; Delays; IMT-2020; mm wave measurement; Poisson distribution; random cluster}},
  language     = {{eng}},
  month        = {{09}},
  number       = {{10}},
  pages        = {{1881--1884}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Antennas and Wireless Propagation Letters}},
  title        = {{Random Cluster Number Feature and Cluster Characteristics of Indoor Measurement at 28 GHz}},
  url          = {{http://dx.doi.org/10.1109/LAWP.2018.2868808}},
  doi          = {{10.1109/LAWP.2018.2868808}},
  volume       = {{17}},
  year         = {{2018}},
}