DocumentCode :
461747
Title :
Canceling Co-Channel Interference for MIMO CDMA Systems*
Author :
Xiao, Yang ; Zhao, Ying ; Lee, Moon Ho
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume :
3
fYear :
2006
fDate :
16-20 2006
Abstract :
According to MIMO idea, the CDMA systems with MIMO technique can increase system capacity, each mobile station in a cell can get at least two spatial communication channels if it equip more than two antennas. The idea is based on the assumption of the MIMO channels of base station (BS) to mobile stations (MSs) to be fully non-coherent, which means that the row vectors of MIMO channels´ matrix should be orthogonal each other. However, this paper shows that, for general application scenes, the row vectors of MIMO channels´ matrix are not orthogonal each other, the MIMO system can only keep the channel matrix to nonsingular, which leads to great co-channel interference existing in the spatial MIMO channels allocated to mobile stations, and the caused BER degradation can not satisfy the communication specifications. To solve the problem, different from classical MIMO approach, this paper proposes utilize inversed channel matrix to decode the spatial signal, instead of transposed channel matrix. Theory analysis and simulations show that good capacity and BER (error bit rate) performance can be achieved by the proposed scheme, though the MIMO CDMA of only two antennas and the MIMO channels are not fully non-coherent
Keywords :
MIMO communication; antenna arrays; cochannel interference; code division multiple access; error statistics; interference suppression; matrix algebra; mobile radio; wireless channels; MIMO CDMA systems; MIMO channels; antennas; base station; cochannel interference canceling; error bit rate; inversed channel matrix; mobile station; mobile stations; spatial communication channels; spatial signal; Base stations; Bit error rate; Communication channels; Degradation; Interchannel interference; Interference cancellation; Layout; MIMO; Mobile antennas; Multiaccess communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345875
Filename :
4129324
Link To Document :
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