DocumentCode :
3300706
Title :
Imperfect generalized transmit beamforming with co-channel interference cancelation
Author :
Radaydeh, Redha M. ; Alouini, Mohamed-Slim
Author_Institution :
Div. of Phys. Sci. & Eng., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
fYear :
2010
fDate :
17-20 Oct. 2010
Firstpage :
879
Lastpage :
884
Abstract :
The performance of a generalized single-stream transmit beamforming scheme employing receive co-channel interference null-steering algorithms in slowly varying and flat fading channels is analyzed. The impact of imperfect prediction of channel state information (CSI) for the desired user spatially uncorrelated transmit channels is considered. Both dominant interference cancelation and adaptive arbitrary interference can-celation algorithms for closely spaced receive antennas are used. The impact of outdated statistical ordering of the interferers instantaneous powers on the effectiveness of dominant interference cancelation is investigated against the less complex adaptive arbitrary cancelation scheme. For the system models described above, new exact formulas for the statistics of combined signal-to-interference-plus-noise ratio (SINR) are derived, from which results for conventional maximum ratio transmission (MRT) and best transmit channel selection schemes can be deduced as limiting cases. The results presented herein can be used to obtain quantitative measure for various performance metrics, and in addition to investigate the performance-complexity tradeoff for different multiple-antenna system models.
Keywords :
cochannel interference; fading channels; interference suppression; receiving antennas; adaptive arbitrary interference cancelation; channel state information; cochannel interference cancelation; flat fading channels; generalized transmit beamforming; maximum ratio transmission; receive antennas; signal-to-interference-plus-noise ratio; transmit channel selection; uncorrelated transmit channels; Fading; Interference; Prediction algorithms; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and its Applications (ISITA), 2010 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-6016-8
Electronic_ISBN :
978-1-4244-6017-5
Type :
conf
DOI :
10.1109/ISITA.2010.5649577
Filename :
5649577
Link To Document :
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