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
A Successive Optimization Approach to Pilot Design for Multi-Cell Massive MIMO Systems
The Department of Informatics, King’s College London, UK.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. (Communication Systems Division)
The Department of Design Engineering and Mathematics, Middlesex University, London, UK. (The Department of Design Engineering and Mathematics, Middlesex University, London)
The Department of Informatics, King’s College London, London, UK.
2018 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 5, p. 1086-1089Article in journal (Refereed) Published
Abstract [en]

In this letter, we introduce a novel pilot designapproach that minimizes the total mean square errors of theminimum mean square error estimators of all base stations (BSs)subject to the transmit power constraints of individual users inthe network, while tackling the pilot contamination in multicellmassive MIMO systems. First, we decompose the originalnon-convex problem into distributed optimization sub-problemsat individual BSs, where each BS can optimize its own pilotsignals given the knowledge of pilot signals from the remainingBSs. We then introduce a successive optimization approach totransform each optimization sub-problem into a linear matrixinequality form, which is convex and can be solved by availableoptimization packages. Simulation results confirm the fast convergenceof the proposed approach and prevails a benchmarkscheme in terms of providing higher accuracy.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 22, no 5, p. 1086-1089
Keywords [en]
Massive MIMO, pilot design, successive optimization, distributed optimization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-147749DOI: 10.1109/LCOMM.2018.2812891ISI: 000431908300054Scopus ID: 2-s2.0-85043381625OAI: oai:DiVA.org:liu-147749DiVA, id: diva2:1204956
Projects
5Gwireless,ELLIIT, and CENIITAvailable from: 2018-05-09 Created: 2018-05-09 Last updated: 2018-05-31Bibliographically approved

Open Access in DiVA

fulltext(362 kB)92 downloads
File information
File name FULLTEXT02.pdfFile size 362 kBChecksum SHA-512
3d38ec3fc43ac8cf19bfd1becbca73cd057b9c409e2a5b84c2d5c197ae5bea22e57036ca4e79f93ae163723a76417d9214a8b70df70da2dc7b6c35a9f9f603a7
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Van Chien, Trinh

Search in DiVA

By author/editor
Van Chien, Trinh
By organisation
Communication SystemsFaculty of Science & Engineering
In the same journal
IEEE Communications Letters
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 92 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: 458 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