DocumentCode :
2254013
Title :
Block Diagonalization based MMSE vector perturbation precoding for multiuser MIMO down-link transmission
Author :
Xiong, Yan ; Lin, Jiaru
Author_Institution :
Key Lab. of Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2010
fDate :
3-5 Dec. 2010
Firstpage :
289
Lastpage :
292
Abstract :
Commonly Block Diagonalized (BD) is employed to cancel the Multi-User Interference (MUI) of the different users´ in multiuser MIMO broadcast channel. Previous proposed Vector Perturbation (VP) algorithm combined with BD can improve the transmission performance and nearly reaches the multi-user sum capacity. In this paper, by means of seeking better cost function, we propose a new approach which uses the he Minimum Mean Square Error (MMSE) VP algorithm for the actual transmit signal in BD based multiuser MIMO downlink transmission. Numerical simulation shows that the proposed method provides more better bit error rate (BER) than other techniques.
Keywords :
MIMO communication; error statistics; least mean squares methods; multiuser channels; radiofrequency interference; vectors; BER; MMSE vector perturbation precoding; MUI; bit error rate; block diagonalization; minimum mean square error VP algorithm; multiuser MIMO broadcast channel; multiuser MIMO down-link transmission; multiuser interference; vector perturbation algorithm; Algorithm design and analysis; Bit error rate; Cost function; Downlink; MIMO; Receiving antennas; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Problem-Solving (ICCP), 2010 International Conference on
Conference_Location :
Lijiang
Print_ISBN :
978-1-4244-8654-0
Type :
conf
Filename :
5696061
Link To Document :
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