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Delay spread properties in a measured massive MIMO system at 2.6 GHz

Payami, Sohail and Tufvesson, Fredrik LU (2013) 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC p.53-57
Abstract

Massive multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with a large number of antennas and the mobile devices have a single antenna, can significantly enhance the system performance. In many wireless systems inter symbol interference (ISI) due to delay dispersion of the channel can dramatically affect the demodulation process of the received signals. Precoding in massive MIMO can reduce or eliminate ISI, while still exploiting the spatial diversity. In this paper, we investigate how much standard linear precoders help the ISI mitigation by shortening the rms delay spread. In order to evaluate the system performance, we measured a massive MIMO channel with 128 antennas at the base station and 36... (More)

Massive multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with a large number of antennas and the mobile devices have a single antenna, can significantly enhance the system performance. In many wireless systems inter symbol interference (ISI) due to delay dispersion of the channel can dramatically affect the demodulation process of the received signals. Precoding in massive MIMO can reduce or eliminate ISI, while still exploiting the spatial diversity. In this paper, we investigate how much standard linear precoders help the ISI mitigation by shortening the rms delay spread. In order to evaluate the system performance, we measured a massive MIMO channel with 128 antennas at the base station and 36 users, including 26 line-of-sight and 10 non line-of-sight, each equipped with a single antenna. We also compare the results from the measurements with an independent identically distributed Gaussian channel with an exponentially decaying average power delay profile. © 2013 IEEE.

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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
Large MIMO, Massive MIMO, Matched filter, MMSE, Precoding, Rms delay spread, Zero forcing
in
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
pages
5 pages
conference name
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
external identifiers
  • Scopus:84893228434
ISBN
9781467362351
DOI
10.1109/PIMRC.2013.6666103
language
English
LU publication?
yes
id
87fa4ef3-619f-418a-ab49-3a31742d75f1
date added to LUP
2016-04-22 09:09:07
date last changed
2016-10-13 05:06:53
@misc{87fa4ef3-619f-418a-ab49-3a31742d75f1,
  abstract     = {<p>Massive multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with a large number of antennas and the mobile devices have a single antenna, can significantly enhance the system performance. In many wireless systems inter symbol interference (ISI) due to delay dispersion of the channel can dramatically affect the demodulation process of the received signals. Precoding in massive MIMO can reduce or eliminate ISI, while still exploiting the spatial diversity. In this paper, we investigate how much standard linear precoders help the ISI mitigation by shortening the rms delay spread. In order to evaluate the system performance, we measured a massive MIMO channel with 128 antennas at the base station and 36 users, including 26 line-of-sight and 10 non line-of-sight, each equipped with a single antenna. We also compare the results from the measurements with an independent identically distributed Gaussian channel with an exponentially decaying average power delay profile. © 2013 IEEE.</p>},
  author       = {Payami, Sohail and Tufvesson, Fredrik},
  isbn         = {9781467362351},
  keyword      = {Large MIMO,Massive MIMO,Matched filter,MMSE,Precoding,Rms delay spread,Zero forcing},
  language     = {eng},
  pages        = {53--57},
  series       = {IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC},
  title        = {Delay spread properties in a measured massive MIMO system at 2.6 GHz},
  url          = {http://dx.doi.org/10.1109/PIMRC.2013.6666103},
  year         = {2013},
}