MmWave Massive MIMO in Real Propagation Environment : Performance Evaluation Using LuMaMi28GHz
(2021) 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 p.80-84- Abstract
This paper presents measurement and analysis results for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) performance in different real-life scenarios with moderate user equipment (UE) mobility. For the measurement campaign, the developed massive MIMO testbed operating at 28GHz called LuMaMi28GHz is employed. In this testbed, the base station has 16 transceiver chains with a fully digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple users with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected. We explore the... (More)
This paper presents measurement and analysis results for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) performance in different real-life scenarios with moderate user equipment (UE) mobility. For the measurement campaign, the developed massive MIMO testbed operating at 28GHz called LuMaMi28GHz is employed. In this testbed, the base station has 16 transceiver chains with a fully digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple users with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected. We explore the potential benefit and features of mmWave massive MIMO systems with antenna selection based on both measured (and recorded) channel data and real-time system performance evaluation.
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- author
- Gunnarsson, Sara LU ; Chung, Min Keun LU ; Johansson, Andreas LU ; Liu, Liang LU ; Tufvesson, Fredrik LU ; Edfors, Ove LU ; Zander, Olof ; Ying, Zhinong ; Samanta, Kamal and Clifton, Chris
- organization
-
- LTH Profile Area: AI and Digitalization
- Communications Engineering (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Department of Electrical and Information Technology
- Integrated Electronic Systems (research group)
- LTH Profile Area: Nanoscience and Semiconductor Technology
- Embedded Electronics Engineering (M.Sc.)
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Massive MIMO
- host publication
- 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
- editor
- Matthews, Michael B.
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
- conference location
- Virtual, Pacific Grove, United States
- conference dates
- 2021-10-31 - 2021-11-03
- external identifiers
-
- scopus:85127077205
- ISBN
- 9781665458283
- DOI
- 10.1109/IEEECONF53345.2021.9723305
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 IEEE.
- id
- b8cf307d-06f7-45d9-99fc-c2fbe684e2d4
- date added to LUP
- 2023-06-29 08:46:40
- date last changed
- 2024-03-22 21:51:21
@inproceedings{b8cf307d-06f7-45d9-99fc-c2fbe684e2d4, abstract = {{<p>This paper presents measurement and analysis results for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) performance in different real-life scenarios with moderate user equipment (UE) mobility. For the measurement campaign, the developed massive MIMO testbed operating at 28GHz called LuMaMi28GHz is employed. In this testbed, the base station has 16 transceiver chains with a fully digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple users with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected. We explore the potential benefit and features of mmWave massive MIMO systems with antenna selection based on both measured (and recorded) channel data and real-time system performance evaluation.</p>}}, author = {{Gunnarsson, Sara and Chung, Min Keun and Johansson, Andreas and Liu, Liang and Tufvesson, Fredrik and Edfors, Ove and Zander, Olof and Ying, Zhinong and Samanta, Kamal and Clifton, Chris}}, booktitle = {{55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021}}, editor = {{Matthews, Michael B.}}, isbn = {{9781665458283}}, keywords = {{Massive MIMO}}, language = {{eng}}, pages = {{80--84}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{MmWave Massive MIMO in Real Propagation Environment : Performance Evaluation Using LuMaMi28GHz}}, url = {{http://dx.doi.org/10.1109/IEEECONF53345.2021.9723305}}, doi = {{10.1109/IEEECONF53345.2021.9723305}}, year = {{2021}}, }