Massive MIMO with a Generalized Channel Model: Fundamental Aspects
(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:
https://lup.lub.lu.se/record/d91e91d4-4df3-4145-8a69-d024f7c82f4a
- author
- Matthaiou, Michail ; Ngo, Hien Quoc ; Smith, Peter J ; Tataria, Harsh LU and Jin, Shi
- organization
- publishing date
- 2018-11-12
- type
- Contribution to conference
- publication status
- published
- 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
- 2021-03-29 18:15:26
@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}}, keywords = {{Massive MIMO; Spatial correlation; multiuser channels; Channel hardening; Favorable propagation; Weishelberger model; Ricean fading}}, language = {{eng}}, month = {{11}}, title = {{Massive MIMO with a Generalized Channel Model: Fundamental Aspects}}, url = {{https://lup.lub.lu.se/search/files/54912238/1570501546.pdf}}, year = {{2018}}, }