DocumentCode
2381221
Title
Reduced complexity scheme for MIMO receiver with combined ZF-OSIC and ML detection
Author
Maung Sann Maw ; Suzuki, Hajime ; Sasase, Iwao
Author_Institution
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear
2012
fDate
18-20 March 2012
Firstpage
92
Lastpage
96
Abstract
Wireless system capacity can be increased enormously by using multiple antennas at transmitter and receiver sides in the system. Among them, maximum likelihood (ML) receiver is an optimal receiver, but it is difficult to implement due to high complexity arising from exhaustive searches over all candidate vector symbols. On the other hand, zero forcing ordered successive interference cancellation (ZF-OSIC) receiver can reduce the complexity greatly although its performance is less than ML receiver. Performance of ZF-OSIC receiver is seriously affected by the lower SNR layers. Therefore, in our proposed detection scheme, we will choose the optimal number of transmit antennas in the high SNR transmit layers, to be detected by the ZF-OSIC scheme and the remaining transmit antennas in the low SNR transmit layers will be detected by ML scheme to give the better BER performance for the spatial multiplexing MIMO system. Simulated results show that the proposed scheme gives better system performances than those of the conventional ZF-OSIC scheme not only in complexity but also in BER condition.
Keywords
MIMO communication; channel capacity; error statistics; interference suppression; maximum likelihood detection; radio receivers; radio transmitters; receiving antennas; space division multiplexing; transmitting antennas; BER; MIMO receiver; ML detection; SNR; ZF-OSIC scheme; candidate vector symbol; maximum likelihood detection; receiving antenna; spatial multiplexing; transmitting antenna; wireless system capacity; zero forcing ordered successive interference cancellation; Bit error rate; Complexity theory; MIMO; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Informatics (ISCI), 2012 IEEE Symposium on
Conference_Location
Penang
Print_ISBN
978-1-4673-1685-9
Type
conf
DOI
10.1109/ISCI.2012.6222673
Filename
6222673
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