Advanced

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:
author
organization
publishing date
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
2013-12-03 13:41:03
date last changed
2019-02-03 04:31:37
@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},
  isbn         = {978-1-4799-2390-8},
  issn         = {1058-6393},
  keyword      = {the COST 2100 MIMO channel model,channel measurements,channel modeling,5G,Massive MIMO,multi-user MIMO,large-scale fading,cluster visibility region},
  language     = {eng},
  location     = {Pacific Grove, CA, United States},
  pages        = {280--284},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Massive MIMO channels - measurements and models},
  url          = {http://dx.doi.org/10.1109/ACSSC.2013.6810277},
  year         = {2013},
}