DocumentCode :
2079602
Title :
Reciprocity-based cognitive transmissions using a MU massive MIMO approach
Author :
Kouassi, Boris ; Ghauri, Irfan ; Deneire, Luc
Author_Institution :
Lab. I3S, Sophia-Antipolis, France
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
2738
Lastpage :
2742
Abstract :
Cognitive radio (CR) aims at enabling the coexistence between legacy systems called primary users (PU) and secondary users (SU), provided the SU do not (significantly) cause interference on PU links. Massive MIMO systems on the other hand yield significant performance and reliability enhancement. In this paper, we investigate the capacity of both PU and SU systems using multi-user (MU) massive MIMO and time division duplex (TDD). TDD indeed permits to estimate the channel state information (CSI) at the PU/SU transmitters to perform linear precoding, taking advantage of the channel reciprocity. The capacity is derived considering the CSI imperfections, the non-reciprocal radio frequency front-ends as well as antenna coupling effects. These impairments can be compensated using reciprocity calibration techniques we recently developed. Extending these techniques to MU massive MIMO, we evaluate interference cancellation precoders. Simulations reveal performance improvements using the massive MIMO reciprocity-based precoder in a CR approach.
Keywords :
MIMO communication; antenna arrays; cognitive radio; interference suppression; multiuser channels; precoding; radio transmitters; telecommunication network reliability; time division multiplexing; CSI imperfections; MU massive MIMO approach; PU link interference; PU-SU transmitters; TDD; antenna coupling effects; channel reciprocity; channel state information; cognitive radio; interference cancellation precoders; legacy systems; linear precoding; multiuser massive MIMO approach; nonreciprocal radio frequency front-ends; primary users; reciprocity calibration; reciprocity-based cognitive transmissions; reliability; secondary users; time division duplex; Antennas; Calibration; Channel estimation; Cognitive radio; MIMO; Radio frequency; Scattering; Massive MIMO; beamforming; channel estimation; cognitive radio; precoding; reciprocity-calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6654952
Filename :
6654952
Link To Document :
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