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Cell-Free versus Cellular Massive MIMO: What Processing is Needed for Cell-Free to Win?
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Univ Pisa, Italy.
2019 (English)In: 2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Communication by joint signal processing from many distributed access points, called Cell-free Massive MIMO, is a potential beyond-5G network infrastructure. The aim of this paper is to provide the first comprehensive comparison with Cellular Massive MIMO. The uplink spectral efficiencies of four different cell-free implementations are analyzed, with spatially correlated fading and arbitrary processing. It turns out that it is possible to outperform cellular networks by a wide margin, but only using the right signal processing. A centralized implementation with optimal processing maximizes performance and, surprisingly, also reduces the fronthaul signaling.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keywords [en]
Cell-free Massive MIMO; cellular; uplink
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-168237DOI: 10.1109/SPAWC.2019.8815488ISI: 000539626100100ISBN: 978-1-5386-6528-2 (electronic)OAI: oai:DiVA.org:liu-168237DiVA, id: diva2:1459393
Conference
20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Note

Funding Agencies|ELLIIT; Wallenberg AI, Autonomous Systems and Software Program (WASP); University of Pisa under the PRA 2018-2019 Research Project CONCEPT

Available from: 2020-08-19 Created: 2020-08-19 Last updated: 2020-08-19

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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