kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Performance Analysis of Cell-Free Massive MIMO Over Spatially Correlated Fading Channels
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Linköping Univ, Dept Elect Engn ISY, Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China..
Show others and affiliations
2019 (English)In: ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Cell-free massive multiple-input multiple-output (MIMO) is a promising network architecture for future wireless systems. This paper investigates the uplink performance of cell-free massive MIMO systems employing the least-square (LS) estimator over spatially correlated fading channels. We first derive a generalized closed-form expression of the spectral efficiency as a function of the number of access point (AP) antennas and the spatial correlation matrices. We use this result to analyze the impact that the fronthaul, number of users and number of APs have on the energy efficiency. Compared to traditional colocated massive MIMO using maximum ratio combining (MRC), our analysis shows that the large performance gain of cell-free massive MIMO with low-complexity linear LS estimators.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-296036ISI: 000492038806009OAI: oai:DiVA.org:kth-296036DiVA, id: diva2:1664537
Conference
IEEE International Conference on Communications (IEEE ICC), MAY 20-24, 2019, Shanghai, PEOPLES R CHINA
Note

Part of ISBN 978-1-5386-8088-9

QC 20220620

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2024-03-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Björnson, Emil

Search in DiVA

By author/editor
Björnson, Emil
Signal ProcessingTelecommunications

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 27 hits
CiteExportLink to record
Permanent link

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