Multiantenna Signal Processing for Cognitive Communications

Chatzinotas, Symeon; Sharma, Shree Krishna; Ottersten, Björn

Reference : Multiantenna Signal Processing for Cognitive Communications


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/6669

Title :	Multiantenna Signal Processing for Cognitive Communications
Language :	English
Author, co-author :	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sharma, Shree Krishna [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2013
Main document title :	Proceedings of IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) 2013
Peer reviewed :	Yes
On invitation :	Yes
Audience :	International
Event name :	IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)
Event date :	6-07-2013 to 10-07-2013
Event organizer :	IEEE Signal Processing Society (SPS)
Event place (city) :	Beijing
Event country :	China
Keywords :	[en] Multiple Antennas ; Cognitive Communications ; Spectrum Sensing ; Interference Alignment
Abstract :	[en] 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.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/6669

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