DocumentCode :
2445422
Title :
A robust RAM-THP architecture for downlink multiuser MISO transmission with user scheduling
Author :
Moradi, Saeed ; Gulak, Glenn
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2011
fDate :
4-7 Oct. 2011
Firstpage :
334
Lastpage :
339
Abstract :
A robust RAM-THP architecture for Zero-Forcing Tomlinson-Harashima Precoding (ZF-THP) for multi-user transmission in a multiple-input-single-output (MU-MISO) system is proposed with user scheduling and Convolutional Turbo Coding (CTC). The proposed architecture is developed to improve the rate of the system. A semi-optimal user-selection scheme is considered to make the aggregate channel matrix used by ZF-THP full rank and increase the robustness of THP under channel estimation error. The impact of the imperfect channel state information (CSI) due to block transmission is also considered. Simulation results reveal that the proposed scheduling procedure significantly improves the BER performance of the system especially in high SNR regime.
Keywords :
MIMO communication; channel coding; channel estimation; convolutional codes; error statistics; matrix algebra; precoding; random-access storage; scheduling; turbo codes; BER performance; block transmission; channel estimation error; channel matrix; convolutional turbo coding; downlink multiuser MISO transmission; imperfect channel state information; multiple-input-single-output system; robust RAM-THP architecture; semioptimal user-selection scheme; user scheduling; zero-forcing Tomlinson-Harashima precoding; Aggregates; Bit error rate; Computer architecture; Receiving antennas; Robustness; Signal to noise ratio; Vectors; RAM-THP; Robust THP; multiuser MISO; precoding; scheduling; zero-forcing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (SiPS), 2011 IEEE Workshop on
Conference_Location :
Beirut
ISSN :
2162-3562
Print_ISBN :
978-1-4577-1920-2
Type :
conf
DOI :
10.1109/SiPS.2011.6088998
Filename :
6088998
Link To Document :
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