Impact of Imperfect CSI on Multiuser MIMO-OFDM-based IIoT Networks: A BER and Capacity Analysis

This study presents an analysis of the bit error rate (BER) and system capacity in a multi-user multiple-input multiple-output (MU-MIMO) wireless system that deploys orthogonal frequency-division multiplexing (OFDM) for wideband communication in industrial Internet-of-Things (IIoT) networks. The focus is on analyzing and evaluating the impact of imperfect channel state information (CSI) on MU-MIMO-OFDM system performance in comparison to perfect CSI within industrial settings. For this, we consider an IIoT network consisting of a base station (BS) and multiple IIoT devices, each equipped with multiple antennas. The CSI is computed using the least squares (LS) estimation technique. Furthermore, we investigate the trade-off between system capacity and BER performance, considering various MIMO configurations to determine an optimal setup. The simulation results demonstrate that both imperfect CSI and MIMO configurations significantly influence BER performance. The findings of this research could provide valuable insights for the design and optimization of MU-MIMO-OFDM-based IIoT networks.