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Massive MIMO Extensions to the COST 2100 Channel Model : Modeling and Validation

Flordelis, Jose LU ; Li, Xuhong LU ; Edfors, Ove LU and Tufvesson, Fredrik LU (2020) In IEEE Transactions on Wireless Communications 19(1). p.380-394
Abstract

To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual... (More)

To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual MPCs at the mobile station side. We find that both MPC lifetimes and MPC-VR radii are lognormally distributed. Simulations suggest that unless MPC-VRs are applied the channel condition number is overestimated. Key statistical properties of the proposed extensions, e.g., autocorrelation functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived and analyzed.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
birth-death process, channel measurements, channel model, closely-located users, large arrays, Massive MIMO, non-stationarity
in
IEEE Transactions on Wireless Communications
volume
19
issue
1
article number
8866736
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85078349556
ISSN
1536-1276
DOI
10.1109/TWC.2019.2945531
language
English
LU publication?
yes
id
bb4a3c04-33e9-464f-a68e-ed90e5b9b4c4
date added to LUP
2020-02-10 12:01:11
date last changed
2020-02-12 10:21:13
@article{bb4a3c04-33e9-464f-a68e-ed90e5b9b4c4,
  abstract     = {<p>To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual MPCs at the mobile station side. We find that both MPC lifetimes and MPC-VR radii are lognormally distributed. Simulations suggest that unless MPC-VRs are applied the channel condition number is overestimated. Key statistical properties of the proposed extensions, e.g., autocorrelation functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived and analyzed.</p>},
  author       = {Flordelis, Jose and Li, Xuhong and Edfors, Ove and Tufvesson, Fredrik},
  issn         = {1536-1276},
  language     = {eng},
  number       = {1},
  pages        = {380--394},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Wireless Communications},
  title        = {Massive MIMO Extensions to the COST 2100 Channel Model : Modeling and Validation},
  url          = {http://dx.doi.org/10.1109/TWC.2019.2945531},
  doi          = {10.1109/TWC.2019.2945531},
  volume       = {19},
  year         = {2020},
}