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
Massive MIMO With Spatially Correlated Rician Fading Channels
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.ORCID iD: 0000-0002-5954-434x
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2019 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 67, no 5, p. 3234-3250Article in journal (Refereed) Published
Abstract [en]

This paper considers multi-cell massive multiple-input multiple-output systems, where the channels are spatially correlated Rician fading. The channel model is composed of a deterministic line-of-sight path and a stochastic non-line-of-sight component describing a practical spatially correlated multipath environment. We derive the statistical properties of the minimum mean squared error (MMSE), element-wise MMSE, and least-square channel estimates for this model. Using these estimates for maximum ratio combining and precoding, rigorous closed-form uplink (UL) and downlink (DL) achievable spectral efficiency (SE) expressions are derived and analyzed. The asymptotic SE behavior, when using the different channel estimators, are also analyzed. The numerical results show that the SE is higher when using the MMSE estimator than that of the other estimators, and the performance gap increases with the number of antennas.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 67, no 5, p. 3234-3250
Keywords [en]
Massive MIMO; spatially correlated Rician fading; channel estimation; spectral efficiency
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-158364DOI: 10.1109/TCOMM.2019.2893221ISI: 000468228900011Scopus ID: 2-s2.0-85059952523OAI: oai:DiVA.org:liu-158364DiVA, id: diva2:1333832
Conference
19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Note

Funding Agencies|ELLIIT; Swedish Research Council

Available from: 2019-07-02 Created: 2019-07-02 Last updated: 2020-02-18Bibliographically approved
In thesis
1. Analysis of Cellular and Cell-Free Massive MIMO with Rician Fading
Open this publication in new window or tab >>Analysis of Cellular and Cell-Free Massive MIMO with Rician Fading
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The data traffic in cellular networks has grown at an exponential pace for decades. This trend will most probably continue in the future, driven by new innovative applications. One of the key enablers of future cellular networks is the massive MIMO technology. A massive MIMO base station is equipped with a massive number (e.g., a hundred) of individually steerable antennas, which can be effectively used to serve tens of user equipments simultaneously on the same time-frequency resource. It can provide a notable enhancement of both spectral efficiency and energy efficiency in comparison with conventional MIMO.

In the literature, the achievable spectral efficiencies of massive MIMO systems with a practical number of antennas have been rigorously characterized and optimized when the channels are subject to either spatially uncorrelated or correlated Rayleigh fading. Typically, in massive MIMO research, i.i.d. Rayleigh fading or less frequently free-space line-of-sight (LoS) channel models are assumed since they simplify the analysis. Massive MIMO technology is able to support both rich scattering and LoS scenarios. However, practical channels can consist of a combination of an LoS path and a correlated small-scale fading component caused by a finite number of scattering clusters that can be modeled by spatially correlated Rician fading. In the first part of this thesis, we consider a multi-cell scenario with spatially correlated Rician fading channels and derive closed-form achievable spectral efficiency expressions for different signal processing techniques.

Alternatively, a massive number of antennas can be spread over a large geographical area and this concept is called cell-free massive MIMO. In the canonical form of cell-free massive MIMO, the access points cooperate via a fronthaul network to spatially multiplex the users on the same time-frequency resource using network MIMO methods that only require locally obtained channel state information. Cellfree massive MIMO is a densely deployed system. Hence, the probability of having an LoS path between some access points and the users is quite high. In the second part of this thesis, we consider a practical scenario where the channels between the access points and the users are modeled with Rician fading.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2020. p. 34
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1870
National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-163688 (URN)10.3384/lic.diva-163688 (DOI)9789179299118 (ISBN)
Presentation
2020-03-02, Transformen, B-house, entrance 27, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2020-02-18 Created: 2020-02-18 Last updated: 2020-02-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Özdogan, ÖzgecanBjörnson, EmilLarsson, Erik G.

Search in DiVA

By author/editor
Özdogan, ÖzgecanBjörnson, EmilLarsson, Erik G.
By organisation
Communication SystemsFaculty of Science & Engineering
In the same journal
IEEE Transactions on Communications
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 77 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