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Massive MIMO with a Generalized Channel Model : Fundamental Aspects

Matthaiou, Michail ; Ngo, Hien Quoc ; Smith, Peter J. ; Tataria, Harsh LU and Jin, Shi (2019) 2019-July.
Abstract

Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G space. Although there are many papers on the theoretical analysis of massive MIMO, the majority of relevant work assumes the simplified, yet overly idealistic, Kronecker-type model for spatial correlation. Motivated by the deficiencies of the Kronecker model, we invoke a naturally generalized spatial correlation model, that is the Weichselberger model. For this model, we pursue a comprehensive analysis of massive MIMO performance in terms of channel hardening and favorable propagation (FP). We identify a number of scenarios under which massive MIMO may fail and discuss their relevance from a practical... (More)

Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G space. Although there are many papers on the theoretical analysis of massive MIMO, the majority of relevant work assumes the simplified, yet overly idealistic, Kronecker-type model for spatial correlation. Motivated by the deficiencies of the Kronecker model, we invoke a naturally generalized spatial correlation model, that is the Weichselberger model. For this model, we pursue a comprehensive analysis of massive MIMO performance in terms of channel hardening and favorable propagation (FP). We identify a number of scenarios under which massive MIMO may fail and discuss their relevance from a practical perspective.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
volume
2019-July
article number
8815518
publisher
Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85072318497
ISBN
9781538665282
DOI
10.1109/SPAWC.2019.8815518
language
English
LU publication?
yes
id
254a54a9-308d-4e07-a174-3b25b2c01867
date added to LUP
2019-10-23 11:47:07
date last changed
2019-10-24 01:53:55
@inproceedings{254a54a9-308d-4e07-a174-3b25b2c01867,
  abstract     = {<p>Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G space. Although there are many papers on the theoretical analysis of massive MIMO, the majority of relevant work assumes the simplified, yet overly idealistic, Kronecker-type model for spatial correlation. Motivated by the deficiencies of the Kronecker model, we invoke a naturally generalized spatial correlation model, that is the Weichselberger model. For this model, we pursue a comprehensive analysis of massive MIMO performance in terms of channel hardening and favorable propagation (FP). We identify a number of scenarios under which massive MIMO may fail and discuss their relevance from a practical perspective.</p>},
  author       = {Matthaiou, Michail and Ngo, Hien Quoc and Smith, Peter J. and Tataria, Harsh and Jin, Shi},
  booktitle    = {20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019},
  isbn         = {9781538665282},
  language     = {eng},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Massive MIMO with a Generalized Channel Model : Fundamental Aspects},
  url          = {http://dx.doi.org/10.1109/SPAWC.2019.8815518},
  doi          = {10.1109/SPAWC.2019.8815518},
  volume       = {2019-July},
  year         = {2019},
}