liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • rtf
Optimal Per-Antenna ADC Bit Allocation in Correlated and Cell-Free Massive MIMO
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. KTH Royal Inst Technol, Sweden.ORCID iD: 0000-0002-5954-434X
Queens Univ Belfast, North Ireland.
2021 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 69, no 7, p. 4767-4780Article in journal (Refereed) Published
Abstract [en]

Y In Massive MIMO base stations (BSs), the hardware design needs to balance high spectral efficiency (SE) with low complexity. The level of hardware impairments (HWIs) indicates how strong the signal distortion introduced by hardware imperfections is. In particular, the analog-to-digital converters (ADCs) have an important impact on signal distortion and power consumption. This article addresses the fundamental problem of selecting the optimal hardware quality in the Massive MIMO space. In particular, we examine the optimal HWI and ADC bit allocation per BS antenna to maximize the SE. The results show that in co-located arrays with low channel gain variations across antennas, equal ADC bit allocation is optimal. In contrast, cell-free Massive MIMO systems benefit the most from optimizing the ADC bit allocation achieving improvements in the order of 2 [bit-per-channel-use] per user equipment when using regularized zero-forcing (RZF). In addition, when including the impact of power consumption in cell-free Massive MIMO with RZF, allocating low values of mixed ADC bit resolutions across the BS antennas can increase the energy efficiency up to 30% compared to equal ADC bit allocation.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 69, no 7, p. 4767-4780
Keywords [en]
Hardware impairments (HWIs); Massive MIMO; optimization
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-178511DOI: 10.1109/TCOMM.2021.3067699ISI: 000673485300039OAI: oai:DiVA.org:liu-178511DiVA, id: diva2:1588129
Note

Funding Agencies|ELLIIT; Swedish Foundation for Strategic Research (SSF)Swedish Foundation for Strategic Research; Engineering and Physical Sciences Research Council (EPSRC), U.K.UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P000673/1]; Department for the Economy Northern Ireland under the US-Ireland Research and Development Partnership Programme

Available from: 2021-08-26 Created: 2021-08-26 Last updated: 2021-08-26

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Verenzuela, DanielBjörnson, Emil
By organisation
Communication SystemsFaculty of Science & Engineering
In the same journal
IEEE Transactions on Communications
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • rtf