Multiantenna signal processing for cognitive communications
2013 (English)In: 2013 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2013, 293-297 p.Conference paper (Refereed)
Cognitive communications has attracted a large interest during the last decade due to spectrum scarcity. In combination with multiantenna techniques, cognitive communications have the ability to increase spectral efficiency by enabling the coexistence of a primary and secondary systems. In this paper, we focus in two specific cognitive approaches: a) Multiantenna Interference Alignment (IA) and b) Multiantenna Spectrum Sensing (SS). In the first case, we investigate how IA over multiple spatial dimensions can be exploited in order to lower harmful interference towards the primary system into acceptable levels. In the second case, we compare the sensing performance of different eigenvalue-based blind SS techniques. This paper concludes by presenting some interesting open problems in this area.
Place, publisher, year, edition, pages
2013. 293-297 p.
antenna arrays, cognitive radio, eigenvalues and eigenfunctions, interference (signal), signal detection, IA, cognitive communications, eigenvalue-based blind SS techniques, multiantenna interference alignment, multiantenna spectrum sensing, multiantenna techniques, spectral efficiency, spectrum scarcity, Cognitive radio, Interference, Noise, Sensors, Vectors, Wireless sensor networks, Cognitive Communications, Interference Alignment, Multiple Antennas, Spectrum Sensing
IdentifiersURN: urn:nbn:se:kth:diva-136551DOI: 10.1109/ChinaSIP.2013.6625347ScopusID: 2-s2.0-84889596881ISBN: 978-147991043-4OAI: oai:DiVA.org:kth-136551DiVA: diva2:676376
2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013; Beijing, China, 6-10 July, 2013
Invited paper.2013-12-052013-12-052014-03-13Bibliographically approved