TY - GEN
T1 - Blind PAPR Reduction and ICA Based Equalization for mmWave FBMC-OQAM Systems
AU - Liu, Ruixue
AU - Zhu, Xu
AU - Jiang, Yufei
AU - Dong, Xiaojie
AU - Zheng, Fuchun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/27
Y1 - 2018/7/27
N2 - We propose a blind selective mapping (BSLM) based peak-to-average power ratio (PAPR) reduction method and an independent component analysis (ICA) based channel equalization structure for millimeter wave (mmWave) filter bank multi-carrier (FBMC) with offset quadrature amplitude modulation (OQAM) systems. On the one hand, a new phase adjustment factor is introduced in the BSLM based PAPR reduction scheme, which is spectrum-efficient as the phase ambiguity incurred can be resolved blindly at the receiver, requiring no side information. On the other hand, we propose an ICA based blind equalization scheme with a new phase shift correction approach, which can resolve the phase ambiguity incurred by ICA equalization. Simulation results show that the proposed structure can provide bit error rate (BER) performance close to zero- forcing (ZF) equalization with perfect channel state information (CSI), and the BSLM based PAPR reduction outperforms the existing methods in the literature, while requiring no side information at the receiver.
AB - We propose a blind selective mapping (BSLM) based peak-to-average power ratio (PAPR) reduction method and an independent component analysis (ICA) based channel equalization structure for millimeter wave (mmWave) filter bank multi-carrier (FBMC) with offset quadrature amplitude modulation (OQAM) systems. On the one hand, a new phase adjustment factor is introduced in the BSLM based PAPR reduction scheme, which is spectrum-efficient as the phase ambiguity incurred can be resolved blindly at the receiver, requiring no side information. On the other hand, we propose an ICA based blind equalization scheme with a new phase shift correction approach, which can resolve the phase ambiguity incurred by ICA equalization. Simulation results show that the proposed structure can provide bit error rate (BER) performance close to zero- forcing (ZF) equalization with perfect channel state information (CSI), and the BSLM based PAPR reduction outperforms the existing methods in the literature, while requiring no side information at the receiver.
KW - Filter bank multi-carrier (FBMC)
KW - Independent component analysis (ICA)
KW - Orthogonal quadrature amplitude modulation (OQAM)
KW - Peak-to-average power ratio (PAPR)
UR - https://www.scopus.com/pages/publications/85051432968
U2 - 10.1109/ICC.2018.8422531
DO - 10.1109/ICC.2018.8422531
M3 - 会议稿件
AN - SCOPUS:85051432968
SN - 9781538631805
T3 - IEEE International Conference on Communications
BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Communications, ICC 2018
Y2 - 20 May 2018 through 24 May 2018
ER -