Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9ec8bb15-63df-4b25-b052-b8e8a43f8e6b
- author
- Nelson, Christian LU ; Li, Xuhong LU ; Fedorov, Aleksei LU ; Deutschman, Benjamin J. B. and Tufvesson, Fredrik LU
- organization
- publishing date
- 2024-02-21
- 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}}, }