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Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments

Chen, Jiajing ; Yin, Xuefeng ; Cai, Xuesong LU and Wang, Stephen (2017) In IEEE Access 5. p.2126-2140
Abstract

In this paper, a measurement campaign for massive multiple-input multiple-output (MIMO) channel characterization in both line-of-sight (LoS) and non-LoS outdoor environments is introduced. The measurements are conducted at the center frequency of 15 GHz with a bandwidth of 4 GHz. A virtual 40× 40 planar antenna array formed by stepping a vertically-polarized bi-conical omni-directional antenna (ODA) along regularly-spaced grids is used in the receiver (Rx). The transmitter is equipped with a single ODA. To investigate channel variations over the Rx array, this 1600-element Rx array is split into multiple 7× 7 sub-arrays, and a maximum-likelihood parameter estimation algorithm implemented using the space-alternating generalized... (More)

In this paper, a measurement campaign for massive multiple-input multiple-output (MIMO) channel characterization in both line-of-sight (LoS) and non-LoS outdoor environments is introduced. The measurements are conducted at the center frequency of 15 GHz with a bandwidth of 4 GHz. A virtual 40× 40 planar antenna array formed by stepping a vertically-polarized bi-conical omni-directional antenna (ODA) along regularly-spaced grids is used in the receiver (Rx). The transmitter is equipped with a single ODA. To investigate channel variations over the Rx array, this 1600-element Rx array is split into multiple 7× 7 sub-arrays, and a maximum-likelihood parameter estimation algorithm implemented using the space-alternating generalized expectation-maximization principle is applied to extracting multipath components (MPCs) from sub-array outputs. The spatial variability of κ-factor, composite channel spreads in delay, azimuth, and elevation of arrival are investigated. Based on the estimated MPCs' parameters, multipath clusters are identified and associated across the array to find the so-called spatial-stationary (SS) clusters. From several hundreds of SS-clusters extracted, we establish a stochastic model for their life distances in horizontal and vertical directions, two-dimensional (2-D) life region, and variations of cluster spreads. These findings are important for massive MIMO channel modeling in the cases, where 2-D large-scale arrays are considered.

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author
; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cluster life distance, cluster life region, clusters of multipath, composite channel parameters, Massive MIMO channel measurement and characterization, spatial stationarity
in
IEEE Access
volume
5
article number
7817797
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85015841967
ISSN
2169-3536
DOI
10.1109/ACCESS.2017.2652983
language
English
LU publication?
no
additional info
Publisher Copyright: © 2013 IEEE.
id
6946dbe1-75ac-450d-8b7e-f541fbd97e55
date added to LUP
2021-11-22 22:27:39
date last changed
2022-04-27 06:11:11
@article{6946dbe1-75ac-450d-8b7e-f541fbd97e55,
  abstract     = {{<p>In this paper, a measurement campaign for massive multiple-input multiple-output (MIMO) channel characterization in both line-of-sight (LoS) and non-LoS outdoor environments is introduced. The measurements are conducted at the center frequency of 15 GHz with a bandwidth of 4 GHz. A virtual 40× 40 planar antenna array formed by stepping a vertically-polarized bi-conical omni-directional antenna (ODA) along regularly-spaced grids is used in the receiver (Rx). The transmitter is equipped with a single ODA. To investigate channel variations over the Rx array, this 1600-element Rx array is split into multiple 7× 7 sub-arrays, and a maximum-likelihood parameter estimation algorithm implemented using the space-alternating generalized expectation-maximization principle is applied to extracting multipath components (MPCs) from sub-array outputs. The spatial variability of κ-factor, composite channel spreads in delay, azimuth, and elevation of arrival are investigated. Based on the estimated MPCs' parameters, multipath clusters are identified and associated across the array to find the so-called spatial-stationary (SS) clusters. From several hundreds of SS-clusters extracted, we establish a stochastic model for their life distances in horizontal and vertical directions, two-dimensional (2-D) life region, and variations of cluster spreads. These findings are important for massive MIMO channel modeling in the cases, where 2-D large-scale arrays are considered.</p>}},
  author       = {{Chen, Jiajing and Yin, Xuefeng and Cai, Xuesong and Wang, Stephen}},
  issn         = {{2169-3536}},
  keywords     = {{cluster life distance; cluster life region; clusters of multipath; composite channel parameters; Massive MIMO channel measurement and characterization; spatial stationarity}},
  language     = {{eng}},
  pages        = {{2126--2140}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Access}},
  title        = {{Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments}},
  url          = {{http://dx.doi.org/10.1109/ACCESS.2017.2652983}},
  doi          = {{10.1109/ACCESS.2017.2652983}},
  volume       = {{5}},
  year         = {{2017}},
}