TY - GEN
T1 - Low-complexity hybrid analog-digital signal detector for uplink multiuser massive MIMO systems
AU - Lee, Yinman
AU - Liang, Meng Wei
AU - Sou, Sok Ian
N1 - Funding Information:
This work was partly supported by the Ministry of Science and Technology (MOST), Taiwan, under grant number MOST 108-2221-E-260-003.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this paper, we propose a low-complexity hybrid analog-digital signal detector for uplink multiuser massive multiple-input multiple-output (MIMO) systems. Specially, both the hardware cost and computation load can be reduced. The analog part consists of phase shifters only which are tuned by the idea of equal-gain combining (EGC) for each data stream. Thus, no additional optimization is required, and the number of radio-frequency (RF) chains decreases at the same time. In the digital part, the Gauss-Seidel (GS) iteration with decision is then used to extract the transmitted symbols from all uplink users. Simulation results show that our proposed hybrid processing method provides similar bit-error rate (BER) performance as compared with the fully-digital minimum mean-squared error (MMSE)/zero-forcing (ZF) detection, and is even better for some cases. When considering the complexity reduction, it is an attractive way for giving a good compromise between the error rate and complexity.
AB - In this paper, we propose a low-complexity hybrid analog-digital signal detector for uplink multiuser massive multiple-input multiple-output (MIMO) systems. Specially, both the hardware cost and computation load can be reduced. The analog part consists of phase shifters only which are tuned by the idea of equal-gain combining (EGC) for each data stream. Thus, no additional optimization is required, and the number of radio-frequency (RF) chains decreases at the same time. In the digital part, the Gauss-Seidel (GS) iteration with decision is then used to extract the transmitted symbols from all uplink users. Simulation results show that our proposed hybrid processing method provides similar bit-error rate (BER) performance as compared with the fully-digital minimum mean-squared error (MMSE)/zero-forcing (ZF) detection, and is even better for some cases. When considering the complexity reduction, it is an attractive way for giving a good compromise between the error rate and complexity.
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U2 - 10.1109/GCCE46687.2019.9015342
DO - 10.1109/GCCE46687.2019.9015342
M3 - Conference contribution
AN - SCOPUS:85081984034
T3 - 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
SP - 415
EP - 416
BT - 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Y2 - 15 October 2019 through 18 October 2019
ER -