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Building and operating a real-time massive MIMO testbed - Lessons learned

Malkowsky, Steffen LU ; Liu, Liang LU ; Öwall, Viktor LU and Edfors, Ove LU (2018) 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 2017-October. p.603-607
Abstract

Massive multiple-input multiple-output (MIMO) is one of the key candidates for the upcoming 5G wireless generation. It offers a multitude of advantages over traditional techniques, such as reduced latency, reduced interference among user equipments (UEs) and increased spectrum and energy efficiencies. However, to verify the theoretically promised gains in real-life, prototype systems are inevitable. This paper discusses the many experiences gathered during designing, building and operating the Lund University Massive MIMO (LuMaMi) testbed. We discuss the six main lessons learned including practical issues, such as the mechanical setup or driver issues but also implementation challenges, such as increasing operation count compared to... (More)

Massive multiple-input multiple-output (MIMO) is one of the key candidates for the upcoming 5G wireless generation. It offers a multitude of advantages over traditional techniques, such as reduced latency, reduced interference among user equipments (UEs) and increased spectrum and energy efficiencies. However, to verify the theoretically promised gains in real-life, prototype systems are inevitable. This paper discusses the many experiences gathered during designing, building and operating the Lund University Massive MIMO (LuMaMi) testbed. We discuss the six main lessons learned including practical issues, such as the mechanical setup or driver issues but also implementation challenges, such as increasing operation count compared to traditional wireless systems, complicated data shuffling and low-processing latency and detail their specific requirements.

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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
host publication
Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
volume
2017-October
pages
5 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
conference location
Pacific Grove, United States
conference dates
2017-10-29 - 2017-11-01
external identifiers
  • scopus:85050953933
ISBN
9781538618233
DOI
10.1109/ACSSC.2017.8335412
language
English
LU publication?
yes
id
5e70f7e7-409f-405b-801f-f9fd38e17f67
date added to LUP
2018-09-17 13:17:26
date last changed
2019-05-02 08:28:22
@inproceedings{5e70f7e7-409f-405b-801f-f9fd38e17f67,
  abstract     = {<p>Massive multiple-input multiple-output (MIMO) is one of the key candidates for the upcoming 5G wireless generation. It offers a multitude of advantages over traditional techniques, such as reduced latency, reduced interference among user equipments (UEs) and increased spectrum and energy efficiencies. However, to verify the theoretically promised gains in real-life, prototype systems are inevitable. This paper discusses the many experiences gathered during designing, building and operating the Lund University Massive MIMO (LuMaMi) testbed. We discuss the six main lessons learned including practical issues, such as the mechanical setup or driver issues but also implementation challenges, such as increasing operation count compared to traditional wireless systems, complicated data shuffling and low-processing latency and detail their specific requirements.</p>},
  author       = {Malkowsky, Steffen and Liu, Liang and Öwall, Viktor and Edfors, Ove},
  isbn         = {9781538618233},
  language     = {eng},
  location     = {Pacific Grove, United States},
  month        = {04},
  pages        = {603--607},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Building and operating a real-time massive MIMO testbed - Lessons learned},
  url          = {http://dx.doi.org/10.1109/ACSSC.2017.8335412},
  volume       = {2017-October},
  year         = {2018},
}