Reference : Multiantenna Signal Processing for Cognitive Communications |
Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
Engineering, computing & technology : Electrical & electronics engineering | |||
http://hdl.handle.net/10993/6669 | |||
Multiantenna Signal Processing for Cognitive Communications | |
English | |
Chatzinotas, Symeon ![]() | |
Sharma, Shree Krishna ![]() | |
Ottersten, Björn ![]() | |
2013 | |
Proceedings of IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) 2013 | |
Yes | |
Yes | |
International | |
IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) | |
6-07-2013 to 10-07-2013 | |
IEEE Signal Processing Society (SPS) | |
Beijing | |
China | |
[en] Multiple Antennas ; Cognitive Communications ; Spectrum Sensing ; Interference Alignment | |
[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. | |
Researchers ; Professionals ; Students | |
http://hdl.handle.net/10993/6669 |
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