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Extension of the COST 2100 channel model for massive MIMO

Gao, Xiang LU ; Zhu, Meifang LU ; Tufvesson, Fredrik LU orcid ; Rusek, Fredrik LU and Edfors, Ove LU orcid (2015) COST IC1004, 2015
Abstract
Massive MIMO has been shown, both in theory and through experiments, to offer very promising properties. These include the possibility to decrease

output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a... (More)
Massive MIMO has been shown, both in theory and through experiments, to offer very promising properties. These include the possibility to decrease

output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a measurement campaign in the 2.6 GHz frequency range

using a physically-large array with 128 elements. (Less)
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author
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organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
COST IC1004, 2015
conference location
Dublin, Ireland
conference dates
2015-01-28 - 2015-01-30
language
English
LU publication?
yes
id
145297a3-e93d-4408-9e04-fb4eefbc3d8b (old id 5114789)
date added to LUP
2016-04-04 14:34:27
date last changed
2018-11-21 21:21:05
@misc{145297a3-e93d-4408-9e04-fb4eefbc3d8b,
  abstract     = {{Massive MIMO has been shown, both in theory and through experiments, to offer very promising properties. These include the possibility to decrease<br/><br>
output power by at least an order of magnitude while still achieving large gains in spectral efficiency, as compared to today’s access schemes. To efficiently design communication algorithms and evaluate massive MIMO schemes, channel models that capture important massive MIMO channel characteristics are needed. We pursue this by extending a well-known cluster-based MIMO channel model - the COST 2100 model. In the paper, we suggest a model extension for massive MIMO, and we discuss main concepts, parameters and implementation issues. The modeling work is based on measurement data from a measurement campaign in the 2.6 GHz frequency range<br/><br>
using a physically-large array with 128 elements.}},
  author       = {{Gao, Xiang and Zhu, Meifang and Tufvesson, Fredrik and Rusek, Fredrik and Edfors, Ove}},
  language     = {{eng}},
  title        = {{Extension of the COST 2100 channel model for massive MIMO}},
  year         = {{2015}},
}