Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments
(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.
(Less)
- author
- Chen, Jiajing ; Yin, Xuefeng ; Cai, Xuesong LU and Wang, Stephen
- publishing date
- 2017
- 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}}, }