Analysis of MMSE Multiuser Detector in a Low-density Parity Check Coded Large Scale MIMO OFDM

Abstract

Background: Large-scale MIMO OFDM technique satisfies the demands on performance and the service quality preferred in wireless communication systems. Since numerous antenna terminals have been incorporated in the base station, multiuser detection is crucial for retrieving the data appropriately. Thus, the complexities of the detectors increase rapidly in large-scale MIMO OFDM schemes. Objective: This work is a solution to achieve an extensively high rate of data transmission, which will help improve the capacity of the LS MIMO OFDM system. Methods: A unique detection approach of multiuser detection in LS MIMO OFDM model with channel coding, like Low Density Parity Check Codes (LDPC), is suggested in this paper. The LDPCcoded large-scale MIMO OFDM system has also been analysed in the study with users of around ten at the transmitter and several antennas in the base station. Results: BER of the LDPC-coded LS MIMO OFDM exhibited a waterfall region for SNR greater than 6dB as the study has been done with different decoding iterations. The BER performance worsened with the increase in modulation symbols. The study has shown how the BER performance has improved with respect to the increasing fading channels and subcarriers. Conclusion: The proposed system exhibited performance closer to the MIMO capacity with low complexity MMSE detection. The multiuser detector of LDPC-coded LS MIMO OFDM has been analysed by error rate in received bits (BER) with respect to different parameters, such as modulation orders, iteration values, receiving antennas, and OFDM subcarriers.