Coded full-duplex MIMO with iterative detection and decoding

Abstract

In this paper, we investigate the performance of a coded full-duplex multiple-input multiple-output (FD-MIMO) bi-directional transceiver. To mitigate self-interference (SI), iterative detection and decoding (IDD) are proposed that utilize soft parallel interference cancellation (SPIC) with adaptive Minimum Mean-Squared-Error (MMSE) filtering. Furthermore, Space-Time Bit-Interleaved Coded Modulation (ST-BICM) based channel coding schemes are considered, i.e. convolutional or turbo code based, and the system performance is evaluated in the presence of additive white Gaussian noise (AWGN) over MIMO Rayleigh fading channels. The proposed near-optimal IDD scheme performs cancellation of SI by iteratively exchanging the soft information of the desired and SI signals between the detector, which comprises adaptive MMSE filtering with log-likelihood ratio (LLR) demapping, and the soft-in soft-out (SISO) decoder implementing linear to logarithmic approximation of the maximum a posteriori algorithm. Performance results are presented to demonstrate the Bit-Error-Rate (BER) performance of the proposed coded FD-MIMO as a function of the signal to noise ratio (SNR). Furthermore, a comparison of the proposed IDD system with relevant state-of-the-art approaches is given which shows a significant improvement in performance as a result of the introduced iterative processing that reduces SI considerably.