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

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Linear precoding based on polynomial expansion: reducing complexity in massive MIMO
Huawei Technology Co Ltd, France; SUPELEC, France.
SUPELEC, France; King Abdullah University of Science and Technology, Saudi Arabia.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. SUPELEC, France.
Huawei Technology Co Ltd, France; SUPELEC, France.
2016 (English)In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, no 63Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

Massive multiple-input multiple-output (MIMO) techniques have the potential to bring tremendous improvements in spectral efficiency to future communication systems. Counterintuitively, the practical issues of having uncertain channel knowledge, high propagation losses, and implementing optimal non-linear precoding are solved more or less automatically by enlarging system dimensions. However, the computational precoding complexity grows with the system dimensions. For example, the close-to-optimal and relatively "antenna-efficient" regularized zero-forcing (RZF) precoding is very complicated to implement in practice, since it requires fast inversions of large matrices in every coherence period. Motivated by the high performance of RZF, we propose to replace the matrix inversion and multiplication by a truncated polynomial expansion (TPE), thereby obtaining the new TPE precoding scheme which is more suitable for real-time hardware implementation and significantly reduces the delay to the first transmitted symbol. The degree of the matrix polynomial can be adapted to the available hardware resources and enables smooth transition between simple maximum ratio transmission and more advanced RZF. By deriving new random matrix results, we obtain a deterministic expression for the asymptotic signal-to-interference-and-noise ratio (SINR) achieved by TPE precoding in massive MIMO systems. Furthermore, we provide a closed-form expression for the polynomial coefficients that maximizes this SINR. To maintain a fixed per-user rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and the signal-to-noise ratio.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2016. no 63
Keyword [en]
Massive MIMO; Linear precoding; Multiuser systems; Polynomial expansion; Random matrix theory
National Category
Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-126837DOI: 10.1186/s13638-016-0546-zISI: 000371395700001OAI: oai:DiVA.org:liu-126837DiVA: diva2:917195
Note

Funding Agencies|ERC [305123]; Swedish Research Council

Available from: 2016-04-05 Created: 2016-04-05 Last updated: 2017-11-30

Open Access in DiVA

fulltext(1392 kB)93 downloads
File information
File name FULLTEXT01.pdfFile size 1392 kBChecksum SHA-512
b57841ebb27f1249ce2c3f911b26b5df33e5f1d590aef58546ca54175cfdaee70d906532040bdd2075472fca02a2e85303b7c4eaa0479b05e81f3803911636ac
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Björnson, Emil

Search in DiVA

By author/editor
Björnson, Emil
By organisation
Communication SystemsFaculty of Science & Engineering
In the same journal
EURASIP Journal on Wireless Communications and Networking
Signal ProcessingCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 93 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 597 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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