TY - GEN
T1 - Improved MIMO SIC detection exploiting ML criterion
AU - Choi, Ji Woong
AU - Lee, Jungwon
AU - Lou, Hui Ling
AU - Park, Jongsun
PY - 2011
Y1 - 2011
N2 - In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams
AB - In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams
KW - MIMO spatial multiplexing
KW - maximum likelihood (ML) criterion
KW - successive interference cancellation (SIC)
UR - http://www.scopus.com/inward/record.url?scp=83755169167&partnerID=8YFLogxK
U2 - 10.1109/VETECF.2011.6093071
DO - 10.1109/VETECF.2011.6093071
M3 - Conference contribution
AN - SCOPUS:83755169167
SN - 9781424483273
T3 - IEEE Vehicular Technology Conference
BT - 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
T2 - IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Y2 - 5 September 2011 through 8 September 2011
ER -