Abstract—The so-called faster-than-Nyquist signaling scheme has recently emerged as a highly promising technique, garnering significant attention for its remarkable ability to efficiently utilize bandwidth by packing more data than conventional systems. In parallel, employing Low-Density Parity-Check (LDPC) codes, a celebrated capacity-approaching forward-error correction (FEC) technique has revolutionized communications. This paper investigates the performance of the 5G new radio layered LDPC codes when employed as the constituent outer block for decoding within the context of the iterative turbo equalization method. The focus lies on effectively mitigating the severe interference introduced by the faster-than-Nyquist (FTN) scheme. The LDPC coding is implemented using parity check matrices derived from the 5G communications standard. To evaluate the system's performance, simulations are conducted using varying sizes of base matrices. Simulations demonstrate the impact of employing different base matrix sizes and quantify the performance gain achieved by employing varying numbers of iterations for the decoding process. The obtained results showcase the superiority of the proposed scheme, as measured by the signal-to-noise ratio (SNR) gain (in dB) when compared to a Nyquist signaling system possessing the same data-carrying capabilities. These findings offer compelling evidence of the potential of our proposed approach in terms of enhancing spectral efficiency and delivering improved performance in the presence of severe interference. The approach utilizes the regularity in the structure of the 5G NR LDPC base matrices and provides efficient layered decoding scheme that contributes to the fast convergence of the decoding process. The proposed scheme of the 5G NR LDPC decoder in the context of severe FTN turbo equalization proves superior to the uncoded QPSK transmission over additive white Gaussian noise (AWGN) channel, with a gain of ~5 dB at the same data rate and the same transmission power.