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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 (2018) IEEE International Conference on Communications (ICC) 2019
Abstract
Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G ecosystem. Although there is a large body of 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, in terms of channel hardening and FP,... (More)
Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G ecosystem. Although there is a large body of 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, in terms of channel hardening and FP, and discuss their relevance from a practical perspective. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to conference
publication status
submitted
subject
keywords
Massive MIMO, Spatial correlation, multiuser channels, Channel hardening, Favorable propagation, Weishelberger model, Ricean fading
pages
6 pages
conference name
IEEE International Conference on Communications (ICC) 2019
conference location
Shaghai, China
conference dates
2019-05-20 - 2019-05-24
language
English
LU publication?
yes
id
d91e91d4-4df3-4145-8a69-d024f7c82f4a
alternative location
https://arxiv.org/abs/1811.04635
date added to LUP
2018-11-27 16:13:22
date last changed
2019-10-23 11:49:01
@misc{d91e91d4-4df3-4145-8a69-d024f7c82f4a,
  abstract     = {Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G ecosystem. Although there is a large body of 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, in terms of channel hardening and FP, and discuss their relevance from a practical perspective.},
  author       = {Matthaiou, Michail and Ngo, Hien Quoc and Smith, Peter J and Tataria, Harsh and Jin, Shi},
  language     = {eng},
  month        = {10},
  title        = {Massive MIMO with a Generalized Channel Model: Fundamental Aspects},
  url          = {https://lup.lub.lu.se/search/ws/files/54912238/1570501546.pdf},
  year         = {2018},
}