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
Weighted Sum Rate Optimization for Multicell MIMO Systems with Hardware-Impaired Transceivers
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7724-5896
KTH, School of Electrical Engineering (EES), Signal Processing. 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
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Physical transceivers exhibit distortions from hardware impairments, of which traces remain even after compensation and calibration. Multicell MIMO coordinated beamforming methods that ignore these residual impairments may suffer from severely degraded performance. In this work, we consider a general model for the aggregate effect of the residual hardware impairments, and propose an iterative algorithm for finding locally optimal points to a weighted sum rate optimization problem. The importance of accounting for the residual hardware impairments is verified by numerical simulation, and a substantial gain over traditional time-division multiple access with impairments-aware resource allocation is observed.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2014. 479-483 p.
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
interference alignment, transceiver hardware impairments, Weighted sum rate optimization
National Category
Signal Processing Telecommunications
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-141944DOI: 10.1109/ICASSP.2014.6853642ISI: 000343655300097Scopus ID: 2-s2.0-84905233702ISBN: 978-1-4799-2893-4 (print)ISBN: 978-147992892-7 OAI: oai:DiVA.org:kth-141944DiVA: diva2:699156
Conference
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014; Florence; Italy; 4 May 2014 through 9 May 2014
Note

Simulation source code is available at https://github.com/rasmusbrandt/icassp2014_TxImpairments

QC 20150123

Available from: 2014-02-26 Created: 2014-02-26 Last updated: 2015-01-23Bibliographically approved

Open Access in DiVA

icassp2014(1479 kB)1886 downloads
File information
File name FULLTEXT01.pdfFile size 1479 kBChecksum SHA-512
6e2574c3ae5f891e217fa024f5ee3e8367e782195b292d32603158a31cbaeaf988cb5b48fce7baa23e8149c6e6ea0310b482646771ba5e7f95cb6dc1014decd1
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusConference website

Authority records BETA

Brandt, RasmusBengtsson, Mats

Search in DiVA

By author/editor
Brandt, RasmusBjörnson, EmilBengtsson, Mats
By organisation
Signal ProcessingACCESS Linnaeus Centre
Signal ProcessingTelecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 1886 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
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1707 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