TY - GEN
T1 - Robust Superimposed Training Designs for MIMO AF Relaying Channels under Total Power Constraint
AU - Rong, Beini
AU - Gong, Shiqi
AU - Fei, Zesong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - We investigate how to design the robust training matrix for spatially correlated multiple-input multiple-output (MIMO) amplify-And-forward (AF) relaying channels with imperfect channel covariance matrices, where the unitary-invariant channel covariance error matrices and the colored noise are assumed. Moreover, the superimposed training technology and the total power constraint are both taken into account. In our work, the robust training design for linear minimum mean-squared-error (LMMSE) channel estimation is formulated as a nonconvex problem. In order to effectively solve the considered nonconvex optimization problem, we resort to an upper bound of the performance of the training optimization and then an iterative SDP algorithm is proposed for the training optimization. Finally, numerical simulations demonstrate the excellent advantages of the proposed robust training design for the LMMSE based channel estimation.
AB - We investigate how to design the robust training matrix for spatially correlated multiple-input multiple-output (MIMO) amplify-And-forward (AF) relaying channels with imperfect channel covariance matrices, where the unitary-invariant channel covariance error matrices and the colored noise are assumed. Moreover, the superimposed training technology and the total power constraint are both taken into account. In our work, the robust training design for linear minimum mean-squared-error (LMMSE) channel estimation is formulated as a nonconvex problem. In order to effectively solve the considered nonconvex optimization problem, we resort to an upper bound of the performance of the training optimization and then an iterative SDP algorithm is proposed for the training optimization. Finally, numerical simulations demonstrate the excellent advantages of the proposed robust training design for the LMMSE based channel estimation.
KW - MIMO AF relaying channels
KW - robust training design
KW - unitarily-invariant channel covariance error matrices.
UR - http://www.scopus.com/inward/record.url?scp=85063096456&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2018.8641143
DO - 10.1109/ICCChina.2018.8641143
M3 - Conference contribution
AN - SCOPUS:85063096456
T3 - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
SP - 651
EP - 655
BT - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Y2 - 16 August 2018 through 18 August 2018
ER -