TY - JOUR
T1 - Multiuser Massive MIMO AF Relaying
T2 - Spectral Efficiency and Power Allocation
AU - Yang, Xi
AU - Liang, Xuesong
AU - Song, Tiecheng
AU - Xu, Wei
AU - Jin, Shi
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/3/15
Y1 - 2018/3/15
N2 - In this paper, we investigate the uplink and downlink transmission of a relay-aided multiuser massive multiple-input multiple-output amplify-and-forward relaying system. In the uplink, the relay station (RS) processes the received signal from K single-antenna mobile users, using maximum ratio combining or zero forcing (ZF), and then forwards the post-processed signal to the base station (BS) which employs the same processing to recover the user signals. In the downlink, the BS processes the signal using maximum ratio transmission or ZF precoding, forwards the post-processed signal to the RS, and then the RS processes the received signals using the same processing used at the BS and then forwards to the K users. In particular, we derive the ergodic spectral efficiency lower bound in closed-form for both uplink and downlink. Furthermore, we examine the power scaling laws and find that the transmit power of nodes can be cut down by a factor of the number of antennas without any performance loss. Finally, we solve the power allocation problem for sum spectral efficiency maximization and presented the power allocation strategy for the considered processing schemes.
AB - In this paper, we investigate the uplink and downlink transmission of a relay-aided multiuser massive multiple-input multiple-output amplify-and-forward relaying system. In the uplink, the relay station (RS) processes the received signal from K single-antenna mobile users, using maximum ratio combining or zero forcing (ZF), and then forwards the post-processed signal to the base station (BS) which employs the same processing to recover the user signals. In the downlink, the BS processes the signal using maximum ratio transmission or ZF precoding, forwards the post-processed signal to the RS, and then the RS processes the received signals using the same processing used at the BS and then forwards to the K users. In particular, we derive the ergodic spectral efficiency lower bound in closed-form for both uplink and downlink. Furthermore, we examine the power scaling laws and find that the transmit power of nodes can be cut down by a factor of the number of antennas without any performance loss. Finally, we solve the power allocation problem for sum spectral efficiency maximization and presented the power allocation strategy for the considered processing schemes.
KW - Ergodic spectral efficiency
KW - massive MIMO
KW - maximum ratio combining
KW - relaying
KW - zero-forcing
UR - https://www.scopus.com/pages/publications/85044087053
U2 - 10.1109/ACCESS.2018.2816560
DO - 10.1109/ACCESS.2018.2816560
M3 - 文章
AN - SCOPUS:85044087053
SN - 2169-3536
VL - 6
SP - 18894
EP - 18906
JO - IEEE Access
JF - IEEE Access
ER -