An Efficient Iterative Detection and Decoding Receiver for Polar-Coded Massive MIMO

Tiancan Xia, Xiaohua Xie, Xiaosi Tan, Yongming Huang, Xiaohu You, Chuan Zhang

Abstract: This paper presents an efficient iterative detection and decoding (IDD) receiver for polar-coded massive MIMO systems. The EP with approximation (EPA) algorithm is devised to relieve the computational burden of the detector. A modified belief propagation flip (mBPF) polar decoder is proposed to effectively improve the decoding performance with acceptable complexity cost. The messages passed between the detector and decoder are carefully designed to further improve the bit-errorrate (BER) performance. Numerical results are presented to demonstrate that the proposed IDD scheme can outperform both the separate detection and decoding (SDD) receiver with EP detector and successive cancellation list (SCL) decoder, and the state-of-the-art (SOA) double EP (DEP) IDD receiver with BP decoder. The corresponding complexity analysis and hardware architecture are also provided in this paper.