Performance evaluation of precoding system for massive multiple-input multiple-output

Low latency, high data speeds, and a higher degree of perceived service quality for consumers base station capacity are only some the advantages fifth generation (5G) mobile communications. This paper focuses on design precoding system downlink transmission multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, traditional techniques investigated difficult since transmitter matrices created by singular value decomposition (SVD) calculated twice. implements different with channel coding. Two advanced precoding, zero forcing (ZF) maximum ratio (MRT) systems will be evaluated to find best between them. Three coding channels (turbo, low-density parity-check (LDPC), polar) used in this paper. The results indicate that ZF-MU-MIMO turbo outperforms MRT more spatial diversity gain may gained, terms throughput, number users supported, lower error rate uplink massive MIMO.