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MmWave Massive MIMO in Real Propagation Environment : Performance Evaluation Using LuMaMi28GHz

Gunnarsson, Sara LU ; Chung, Min Keun LU ; Johansson, Andreas LU ; Liu, Liang LU ; Tufvesson, Fredrik LU orcid ; Edfors, Ove LU ; Zander, Olof ; Ying, Zhinong ; Samanta, Kamal and Clifton, Chris (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
; ; ; ; ; ; ; ; and
organization
publishing date
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
2023-11-22 19:41:14
@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}},
}