An Investigation of The 5G LDPC and Polar Decoding Performance in Spatial Correlated MIMO-OFDMA System

This paper studies the spatial cross-correlation properties of 5G channel modeling simulator of the 2 × 2 Multiple-input Multiple-output (MEMO) in NLOS Urban Micro Scenario (UMi) at 6 GHz frequency band. We determine that changing the distance of the antenna elements spacings leads to vary the correlation characteristics of MIMO 5G channel modelling, especially in the transmitter. We implement the distinct 5G LDPC and Polar decoding algorithms to investigate the performance of the wide-band spatial correlated Multiple input and Multiple output Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) system. Under different spatial correlation coefficient of the system, we estimate the numbers of active mobile station (MS) in MAC layer. Of the LDPC LAMS, LDPC BP and Polar decoding algorithms, we propose to use the Polar code with Successive Cancellation List (SLC) L = 8 in our 5G correlated MIMO-OFDMA system.