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Training Design upon Mutual Information for Spatially Correlated MIMO-OFDM
Responsible organisation
2010 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Our goal in this paper is to address channel estimations for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) system upon the conditional mutual information (CMI). The design of superimposed training signal by maximizing the channel CMI is fully investigated. First, the interior-point-method is employed to obtain the optimal superimposed training signals for the general case of channel correlations. In addition, two efficient approximate designs are also proposed by invoking Karush-Kuhn-Tucker condition for optimality of convex programming. The first approximate design is obtained by proposing a iterativebisection-procedure (IBP), while the second one is in “waterfilling” closed-form. Numerical results demonstrate the excellent performance of the proposed designs and give the connection between channel estimation error and mutual information.

Place, publisher, year, edition, pages
Sydney, Australia: IEEE , 2010.
Keyword [en]
multiple-input multiple-output, orthogonal frequency-division multiplexing
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-7857Local ID: oai:bth.se:forskinfo900FC6CC390E6726C12576DB0030C2E9OAI: oai:DiVA.org:bth-7857DiVA: diva2:835524
Conference
IEEE Wireless Communications and Networking Conference (WCNC'10)
Available from: 2012-09-18 Created: 2010-03-03 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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Output format
  • html
  • text
  • asciidoc
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