TY - GEN
T1 - User-Coupling Angle-Domain Adaptive Filtering based Multiuser MIMO Frequency Synchronization
AU - Ge, Yinghao
AU - Zhang, Weile
AU - Hu, Zhinan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this paper, we develop a user-coupling angle-domain adaptive filtering (UC-ADAF) based frequency synchronization method for the uplink of a massive multiple-input multiple-output (MIMO) multiuser network, in the presence of highly overlapping angle-of-arrival (AoA) regions among coexisting users. In order to deal with the extremely severe multiuser interference (MUI) among users with highly overlapping AoA region, we propose to couple them together and perform joint carrier frequency offset (CFO) estimation and data detection. For the coupled users, the UC angle-constraining matrix (UC-ACM) can inherently suppress the interference from non-overlapping users and the UC-ADAF vectors are adaptively optimized to further eliminate the MUI from slightly overlapping users. Moreover, the challenging problem of addressing the severe MUI caused by the highly overlapping users is circumvented through joint estimation and detection. The effectiveness of the proposed UC-ADAF approach and its superiority over the existing methods, are demonstrated by numerical results.
AB - In this paper, we develop a user-coupling angle-domain adaptive filtering (UC-ADAF) based frequency synchronization method for the uplink of a massive multiple-input multiple-output (MIMO) multiuser network, in the presence of highly overlapping angle-of-arrival (AoA) regions among coexisting users. In order to deal with the extremely severe multiuser interference (MUI) among users with highly overlapping AoA region, we propose to couple them together and perform joint carrier frequency offset (CFO) estimation and data detection. For the coupled users, the UC angle-constraining matrix (UC-ACM) can inherently suppress the interference from non-overlapping users and the UC-ADAF vectors are adaptively optimized to further eliminate the MUI from slightly overlapping users. Moreover, the challenging problem of addressing the severe MUI caused by the highly overlapping users is circumvented through joint estimation and detection. The effectiveness of the proposed UC-ADAF approach and its superiority over the existing methods, are demonstrated by numerical results.
UR - https://www.scopus.com/pages/publications/85077774108
U2 - 10.1109/WCSP.2019.8928102
DO - 10.1109/WCSP.2019.8928102
M3 - 会议稿件
AN - SCOPUS:85077774108
T3 - 2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019
BT - 2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019
Y2 - 23 October 2019 through 25 October 2019
ER -