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Linear transceiver optimization in multicell MIMO based on the generalized benders decomposition
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-0995-9835
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2015 (English)In: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, IEEE conference proceedings, 2015, 430-434 p.Conference paper, Published paper (Refereed)
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Text
Abstract [en]

We study the maximum sum rate optimization problem in the multiple-input multiple-output interfering broadcast channel. The multiple-antenna transmitters and receivers are assumed to have perfect channel state information. In this setting, finding the optimal linear transceiver design is an NP-hard problem. We show that a reformulation of the problem renders the application of generalized Benders decomposition suitable. The decomposition provides us with an optimization structure which we exploit to apply two different optimization approaches. While one approach is guaranteed to converge to a local optimum of the original problem, the other approach hinges on techniques which can be promising for devising a global optimization method.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 430-434 p.
Keyword [en]
generalized Benders decomposition, interfering broadcast channel, linear transceiver design, multiple-input single-output, sum rate optimization, Broadcasting, Channel capacity, Channel state information, Codes (symbols), Communication channels (information theory), Computational complexity, Global optimization, MIMO systems, Radio transceivers, Signal processing, Stochastic programming, Structural optimization, Transceivers, Wireless telecommunication systems, Generalized benders decompositions, Interfering broadcast channels, Linear transceiver designs, Multiple input single outputs, Sum-rate optimization, Optimization
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-181188DOI: 10.1109/SPAWC.2015.7227074ISI: 000380547100087Scopus ID: 2-s2.0-84953409825ISBN: 9781479919307 (print)OAI: oai:DiVA.org:kth-181188DiVA: diva2:902298
Conference
16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015, 28 June 2015 through 1 July 2015
Note

QC 20160210

Available from: 2016-02-10 Created: 2016-01-29 Last updated: 2016-09-05Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
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