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
Cognitive interference alignment between small cells and a macrocell
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
2012 (English)In: 2012 19th International Conference on Telecommunications, ICT 2012, IEEE , 2012, 6221210- p.Conference paper, Published paper (Refereed)
Abstract [en]

Small cells have attracted large interest lately in the research community, mainly due to easy and quick deployment. In addition, a large number of small cells is in general more energy efficient than macrocells since less power is required to combat path loss and get across the wireless medium. However, in current network configurations these two types of cells have to coexist over the same spectrum because existing cellular systems are mainly based on macrocells and additional bandwidth for small cell deployments is scarce and too expensive to acquire. In this context, this contribution investigates an underlay cognitive communication technique which exploits interference alignment across multiple antennas in order to mitigate the interference of small cell User Terminals (UTs) towards the macrocell Base Station (BS). More specifically, three techniques for aligning interference are investigated, namely static, coordinated and un-coordinated. The system performance is evaluated and compared based on sum-rate capacity, primary rate protection ratio and primary to secondary rate ratio.

Place, publisher, year, edition, pages
IEEE , 2012. 6221210- p.
Keyword [en]
Cell deployment, Cellular system, Communication techniques, Energy efficient, Interference alignment, Macro cells, Multiple antenna, Network configuration, Path loss, Protection ratios, Rate ratios, Research communities, Sum-rate capacity, User terminals, Wireless medium, Cells, Cytology, Energy efficiency, Local area networks, Information technology
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-101572DOI: 10.1109/ICTEL.2012.6221210Scopus ID: 2-s2.0-84864268944ISBN: 978-146730747-5 (print)OAI: oai:DiVA.org:kth-101572DiVA: diva2:549422
Conference
2012 19th International Conference on Telecommunications, ICT 2012; Jounieh; 23 April 2012 through 25 April 2012
Funder
ICT - The Next Generation
Note

QC 20120904

Available from: 2012-09-04 Created: 2012-08-30 Last updated: 2013-10-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Ottersten, Björn

Search in DiVA

By author/editor
Ottersten, Björn
By organisation
Signal Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 123 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