Low Complexity Adaptive Antenna Selection for Cognitive Radio MIMO Broadcast Channels
2012 (English)In: 2012 IEEE Global Communications Conference (Globecom), New York: IEEE , 2012, 3844-3849 p.Conference paper (Refereed)
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.
, IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
Block diagonalization, Broadcast channels, Cognitive radio network, Complexity reduction, MIMO broadcast channels, Numerical results, Opportunistic interference alignments, Perfect channel state information
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-100829DOI: 10.1109/GLOCOM.2012.6503716ISI: 000322375104034ScopusID: 2-s2.0-84877669216ISBN: 978-1-4673-0921-9OAI: oai:DiVA.org:kth-100829DiVA: diva2:545271
2012 IEEE Global Communications Conference, GLOBECOM 2012; Anaheim, CA; United States; 3 December 2012 through 7 December 2012
ProjectsEU, FP7, Sjunde ramprogrammet, INFSO-ICT-248303 QUASAR
QC 201305242012-08-192012-08-192013-11-28Bibliographically approved