TY - JOUR
T1 - Blind Decoding Based on Independent Component Analysis for a Massive MIMO Uplink System in Microcell Rician/Rayleigh Fading Channels
AU - Shen, Lei
AU - Yao, Yu Dong
AU - Wang, Haiquan
AU - Wang, Huaxia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2016/10
Y1 - 2016/10
N2 - In a massive multiple-input-multiple-output (MIMO) uplink system, the pilot sequence reuse in neighboring cells causes pilot contamination, causing the decoding performance to degrade significantly. In this paper, a blind decoding method based on independent component analysis (ICA) is proposed without using pilot sequences. The proposed blind decoding method uses ICA to separate the received signals (from in-cell and neighboring cells) and estimate channels. The energy levels of the estimated channels are used to differentiate an in-cell signal from neighboring cell signals. The analytical performance results of the blind decoding method are derived. Numerical results show that the proposed blind decoding scheme outperforms minimum-mean-square-error (MMSE) decoding and zero-forcing (ZF) decoding with imperfect channel state information (CSI). The proposed scheme has only a negligible performance loss compared with MMSE decoding and ZF decoding with perfect CSI.
AB - In a massive multiple-input-multiple-output (MIMO) uplink system, the pilot sequence reuse in neighboring cells causes pilot contamination, causing the decoding performance to degrade significantly. In this paper, a blind decoding method based on independent component analysis (ICA) is proposed without using pilot sequences. The proposed blind decoding method uses ICA to separate the received signals (from in-cell and neighboring cells) and estimate channels. The energy levels of the estimated channels are used to differentiate an in-cell signal from neighboring cell signals. The analytical performance results of the blind decoding method are derived. Numerical results show that the proposed blind decoding scheme outperforms minimum-mean-square-error (MMSE) decoding and zero-forcing (ZF) decoding with imperfect channel state information (CSI). The proposed scheme has only a negligible performance loss compared with MMSE decoding and ZF decoding with perfect CSI.
KW - Blind decoding
KW - independent component analysis (ICA)
KW - massive multiple-input-multiple-output (MIMO)
KW - minimum mean-square error (MMSE)
KW - zero forcing (ZF)
UR - http://www.scopus.com/inward/record.url?scp=85006752382&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006752382&partnerID=8YFLogxK
U2 - 10.1109/TVT.2015.2508154
DO - 10.1109/TVT.2015.2508154
M3 - Article
AN - SCOPUS:85006752382
SN - 0018-9545
VL - 65
SP - 8322
EP - 8330
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 10
ER -