DocumentCode :
3007746
Title :
Low-complexity unitary preprocessing scheme for limited feedback multiuser MIMO systems
Author :
Lee, Hyoungjoo ; Sohn, Illsoo ; Lee, Kwang Bok
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ. (SNU), Seoul, South Korea
fYear :
2009
fDate :
8-10 Oct. 2009
Firstpage :
269
Lastpage :
272
Abstract :
In this paper, a practical downlink multiuser multiple-input multiple-output (MU-MIMO) scheme with low-rate feedback channel is considered. Firstly, we propose a preferred-beam feedback method, which effectively conveys information of user channel and inter-user interference. Secondly, we propose a new low-complexity method to compute unitary preprocessing matrix based on the feedback method. The proposed method reduces considerably computational complexity by utilizing SVD operation compared to the conventional unitary preprocessing scheme. Finally, for the case that the number of users exceeds the number of transmit antennas, we provide two simple user selection algorithms to exploit multiuser diversity. Numerical results show that the proposed low-complexity unitary preprocessing scheme achieves higher sum-rate than previous linear preprocessing schemes, especially at low SNR or with small number of active users.
Keywords :
MIMO communication; computational complexity; feedback; interference (signal); multiuser channels; transmitting antennas; computational complexity; inter-user interference; limited feedback; linear preprocessing; low complexity unitary preprocessing; low-rate feedback channel; multiuser MIMO systems; multiuser diversity; transmit antennas; user channel; Array signal processing; Broadcasting; Computational complexity; Degradation; Diversity reception; Downlink; Feedback; Interference; MIMO; Transmitting antennas; MIMO broadcast channel; Multiuser MIMO; limited-feedback; linear preprocessing; unitary preprocessing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4784-8
Electronic_ISBN :
978-1-4244-4785-5
Type :
conf
DOI :
10.1109/APCC.2009.5375638
Filename :
5375638
Link To Document :
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