Massive MIMO channels - measurements and models
Gao, Xiang LU ; Tufvesson, Fredrik LU
and Edfors, Ove
LU
(2013)
47th Annual Asilomar Conference on Signals, Systems, and Computers, 2003
p.280-284
- Abstract
- Spatial multiplexing using Massive MIMO has been shown to have very promising properties, including large gains in spectral efficiency and several orders of magnitude lower transmit power, as compared to today's access schemes. The properties of massive MIMO have been studied mostly for theoretical channels with independent and identically distributed (i.i.d.)
complex Gaussian coefficients. To efficiently evaluate massive MIMO in more realistic scenarios, we need channel models that capture important massive MIMO channel characteristics. We pursue this by analyzing measurement data from a measurement campaign in the 2.6 GHz frequency range, using a physically large array with 128 elements. Key propagation characteristics
... (More) - Spatial multiplexing using Massive MIMO has been shown to have very promising properties, including large gains in spectral efficiency and several orders of magnitude lower transmit power, as compared to today's access schemes. The properties of massive MIMO have been studied mostly for theoretical channels with independent and identically distributed (i.i.d.)
complex Gaussian coefficients. To efficiently evaluate massive MIMO in more realistic scenarios, we need channel models that capture important massive MIMO channel characteristics. We pursue this by analyzing measurement data from a measurement campaign in the 2.6 GHz frequency range, using a physically large array with 128 elements. Key propagation characteristics
are identified from the measurements. We use the cluster-based COST 2100 MIMO channel model as a basis, and propose an extension to include those important propagation properties for massive MIMO. Statistical models of the total number of clusters, their visibility regions and visibility gains at the base station side are found based on the measurement data. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4180754
- author
- Gao, Xiang
LU
; Tufvesson, Fredrik
LU
and Edfors, Ove
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- the COST 2100 MIMO channel model, channel measurements, channel modeling, 5G, Massive MIMO, multi-user MIMO, large-scale fading, cluster visibility region
- host publication
- 2013 Asilomar Conference on Signals, Systems and Computers
- pages
- 280 - 284
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 47th Annual Asilomar Conference on Signals, Systems, and Computers, 2003
- conference location
- Pacific Grove, CA, United States
- conference dates
- 2003-11-03 - 2003-11-06
- external identifiers
-
- wos:000341772900050
- scopus:84901281823
- ISSN
- 1058-6393
- ISBN
- 978-1-4799-2390-8
- DOI
- 10.1109/ACSSC.2013.6810277
- language
- English
- LU publication?
- yes
- id
- 578993fc-2a44-45e3-9ddc-448b4d439599 (old id 4180754)
- date added to LUP
- 2016-04-01 14:35:07
- date last changed
- 2024-03-27 20:25:31
@inproceedings{578993fc-2a44-45e3-9ddc-448b4d439599,
abstract = {{Spatial multiplexing using Massive MIMO has been shown to have very promising properties, including large gains in spectral efficiency and several orders of magnitude lower transmit power, as compared to today's access schemes. The properties of massive MIMO have been studied mostly for theoretical channels with independent and identically distributed (i.i.d.)<br/><br>
complex Gaussian coefficients. To efficiently evaluate massive MIMO in more realistic scenarios, we need channel models that capture important massive MIMO channel characteristics. We pursue this by analyzing measurement data from a measurement campaign in the 2.6 GHz frequency range, using a physically large array with 128 elements. Key propagation characteristics<br/><br>
are identified from the measurements. We use the cluster-based COST 2100 MIMO channel model as a basis, and propose an extension to include those important propagation properties for massive MIMO. Statistical models of the total number of clusters, their visibility regions and visibility gains at the base station side are found based on the measurement data.}},
author = {{Gao, Xiang and Tufvesson, Fredrik and Edfors, Ove}},
booktitle = {{2013 Asilomar Conference on Signals, Systems and Computers}},
isbn = {{978-1-4799-2390-8}},
issn = {{1058-6393}},
keywords = {{the COST 2100 MIMO channel model; channel measurements; channel modeling; 5G; Massive MIMO; multi-user MIMO; large-scale fading; cluster visibility region}},
language = {{eng}},
pages = {{280--284}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Massive MIMO channels - measurements and models}},
url = {{https://lup.lub.lu.se/search/files/4053280/4183659.pdf}},
doi = {{10.1109/ACSSC.2013.6810277}},
year = {{2013}},
}