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Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment

Nelson, Christian LU orcid ; Li, Xuhong LU ; Fedorov, Aleksei LU ; Deutschman, Benjamin J. B. and Tufvesson, Fredrik LU orcid (2024) In Sensors 24(5). p.1-25
Abstract
Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sensing in the millimeter-wave (mmWave) and sub-THz bands; however, the sub-6 GHz cellular bands will still be the main provider of wide cellular coverage due to the more favorable propagation conditions. In this paper, we present a measurement system and results of sub-6 GHz distributed multiple-input-multiple-output (MIMO) measurements performed in... (More)
Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sensing in the millimeter-wave (mmWave) and sub-THz bands; however, the sub-6 GHz cellular bands will still be the main provider of wide cellular coverage due to the more favorable propagation conditions. In this paper, we present a measurement system and results of sub-6 GHz distributed multiple-input-multiple-output (MIMO) measurements performed in an industrial environment. From the measurements, we evaluated the diversity for both large-scale and small-scale fading and characterized the link reliability. We also analyzed the possibility of multistatic sensing and positioning of users in the environment, with the initial results showing a mean-square error below 20 cm on the estimated position. Further, the results clearly showed that new channel models are needed that are spatially consistent and deal with the nonstationary channel properties among the antennas. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Sensors
volume
24
issue
5
article number
1385
pages
25 pages
publisher
MDPI AG
external identifiers
  • scopus:85187419166
  • pmid:38474920
ISSN
1424-8220
DOI
10.3390/s24051385
language
English
LU publication?
yes
id
9ec8bb15-63df-4b25-b052-b8e8a43f8e6b
date added to LUP
2024-02-27 08:29:44
date last changed
2024-05-29 03:00:22
@article{9ec8bb15-63df-4b25-b052-b8e8a43f8e6b,
  abstract     = {{Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sensing in the millimeter-wave (mmWave) and sub-THz bands; however, the sub-6 GHz cellular bands will still be the main provider of wide cellular coverage due to the more favorable propagation conditions. In this paper, we present a measurement system and results of sub-6 GHz distributed multiple-input-multiple-output (MIMO) measurements performed in an industrial environment. From the measurements, we evaluated the diversity for both large-scale and small-scale fading and characterized the link reliability. We also analyzed the possibility of multistatic sensing and positioning of users in the environment, with the initial results showing a mean-square error below 20 cm on the estimated position. Further, the results clearly showed that new channel models are needed that are spatially consistent and deal with the nonstationary channel properties among the antennas.}},
  author       = {{Nelson, Christian and Li, Xuhong and Fedorov, Aleksei and Deutschman, Benjamin J. B. and Tufvesson, Fredrik}},
  issn         = {{1424-8220}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{5}},
  pages        = {{1--25}},
  publisher    = {{MDPI AG}},
  series       = {{Sensors}},
  title        = {{Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment}},
  url          = {{https://lup.lub.lu.se/search/files/172868551/sensors-24-01385.pdf}},
  doi          = {{10.3390/s24051385}},
  volume       = {{24}},
  year         = {{2024}},
}