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Low Complexity Adaptive Antenna Selection for Cognitive Radio MIMO Broadcast 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), 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: 0000-0001-7182-9543
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2012 (English)In: 2012 IEEE Global Communications Conference (Globecom), New York: IEEE , 2012, 3844-3849 p.Conference paper, Published paper (Refereed)
Abstract [en]

A multi-antenna cognitive radio network, with a single pair of primary users and a secondary broadcast channel, is considered. Under perfect channel state information (CSI), the rate-optimal strategy for the primary link is waterfilling, resulting in possibly unused dimensions. The secondary base station, supplied with perfect and global CSI, employs block diagonalization for interference-free message precoding and opportunistic interference alignment to avoid disturbing primary communication. In the absence of sufficient resources to serve all secondary users, a low complexity adaptive antenna selection strategy is proposed. This scheme constructs, in each time-slot, the set of active antennas by opportunistically reusing information and resources from the preceding selection round. Numerical results indicate a complexity reduction at a small rate-loss penalty, in comparison with existing selection methods.

Place, publisher, year, edition, pages
New York: IEEE , 2012. 3844-3849 p.
Series
IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
Keyword [en]
Block diagonalization, Broadcast channels, Cognitive radio network, Complexity reduction, MIMO broadcast channels, Numerical results, Opportunistic interference alignments, Perfect channel state information
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-100829DOI: 10.1109/GLOCOM.2012.6503716ISI: 000322375104034Scopus ID: 2-s2.0-84877669216ISBN: 978-1-4673-0921-9 (print)OAI: oai:DiVA.org:kth-100829DiVA: diva2:545271
Conference
2012 IEEE Global Communications Conference, GLOBECOM 2012; Anaheim, CA; United States; 3 December 2012 through 7 December 2012
Projects
EU, FP7, Sjunde ramprogrammet, INFSO-ICT-248303 QUASAR
Note

QC 20130524

Available from: 2012-08-19 Created: 2012-08-19 Last updated: 2013-11-28Bibliographically approved

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Rasmussen, Lars K.Skoglund, Mikael

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