Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Combining long-term and low-rate short-term channel state information over correlated MIMO channels
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2008 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 7, no 7, 2409-2414 p.Article in journal (Refereed) Published
Abstract [en]

A simple structure to exploit both long-term and partial short-term channel state information at the transmitter (CSIT) over a family of correlated multiple-antenna channels is proposed. Partial short-term CSIT in the form of a weighting matrix is combined with a unitary transformation based on the long-term channel statistics. The heavily quantized feedback link is directly optimized to maximize the expected achievable rate under different power constraints, using vector quantization and convex optimization techniques on a sample channel distribution. Robustness against errors in the feedback link is also pursued with tools in channel optimized vector quantization. Simulations indicate the benefits of the proposed scheme.

Place, publisher, year, edition, pages
IEEE Communications Society , 2008. Vol. 7, no 7, 2409-2414 p.
Keyword [en]
MIMO systems, fading channels, information rates, feedback communication, adaptive systems
National Category
Engineering and Technology Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-38083DOI: 10.1109/TWC.2008.060989ISI: 000259366900001Scopus ID: 2-s2.0-48149095504OAI: oai:DiVA.org:kth-38083DiVA: diva2:436470
Note
QC 20110823 31st IEEE International Conference on Acoustics, Speech and Signal Processing Location: Toulouse, FRANCE Date: MAY 14-19, 2006 Available from: 2011-08-23 Created: 2011-08-22 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Bengtsson, MatsSkoglund, Mikael

Search in DiVA

By author/editor
Kim, Thanh TungBengtsson, MatsLarsson, Erik G.Skoglund, Mikael
By organisation
Communication TheoryACCESS Linnaeus CentreSignal Processing
In the same journal
IEEE Transactions on Wireless Communications
Engineering and TechnologyTelecommunications

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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