TY - GEN
T1 - User-initiated Suboptial Multiuser Joint Transmit-Receive Diversity in An Asymmetric MIMO Fading Channel
AU - Adachi, Fumiyuki
AU - Takahashi, Ryo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In user-initiated multiuser joint transmit-receive diversity (JTRD), each user equipment (UE) determines its diversity weight vector based on its own multi-input multi-output (MIMO) channel matrix and transmits pilot precoded by its diversity weight vector. Then, the base station (BS) obtains the equivalent multiuser MIMO channel matrix (which is a concatenation of user side diversity weight vector matrix and multiuser MIMO channel) and determines its multiuser JTRD weight matrix. There are suboptimal and optimal multiuser JTRDs. In the former, each UE determines its JTRD weight vector based on its own MIMO channel matrix. In the latter case, each UE applies the singular value decomposition (SVD) to its MIMO channel and determines the largest eigen vector as its JTRD weight vector. We show that in a strongly asymmetric MIMO fading channel (i.e., the number of BS antennas is considerably larger than that of UE antennas), the suboptimal JTRD using the selection weight vector provides a slightly higher diversity gain than that using the maximal-ratio weight vector and that the transmission performance difference between the suboptimal and optimal multiuser JTRDs is small.
AB - In user-initiated multiuser joint transmit-receive diversity (JTRD), each user equipment (UE) determines its diversity weight vector based on its own multi-input multi-output (MIMO) channel matrix and transmits pilot precoded by its diversity weight vector. Then, the base station (BS) obtains the equivalent multiuser MIMO channel matrix (which is a concatenation of user side diversity weight vector matrix and multiuser MIMO channel) and determines its multiuser JTRD weight matrix. There are suboptimal and optimal multiuser JTRDs. In the former, each UE determines its JTRD weight vector based on its own MIMO channel matrix. In the latter case, each UE applies the singular value decomposition (SVD) to its MIMO channel and determines the largest eigen vector as its JTRD weight vector. We show that in a strongly asymmetric MIMO fading channel (i.e., the number of BS antennas is considerably larger than that of UE antennas), the suboptimal JTRD using the selection weight vector provides a slightly higher diversity gain than that using the maximal-ratio weight vector and that the transmission performance difference between the suboptimal and optimal multiuser JTRDs is small.
KW - asymmetric MIMO fading channel
KW - maximal-ratio diversity
KW - Multiuser joint transmit-receive diversity
KW - selection diversity
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U2 - 10.1109/VTC2023-Spring57618.2023.10200867
DO - 10.1109/VTC2023-Spring57618.2023.10200867
M3 - Conference contribution
AN - SCOPUS:85169798200
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Y2 - 20 June 2023 through 23 June 2023
ER -