Uplink Performance Analysis of PD-NOMA System

Abstract

Non-Orthogonal Multiple Access (NOMA) is one of the potential radio access methods suggested for 5G networks to improve the performance of 5G users. This research presents the work made on the 5G PD-NOMA system. The objective of the research is to analyze the bit error rate experienced by UEs under different channel models, different encoding techniques, and different modulation schemes. The MATLAB-based Uplink system model for PD-NOMA is developed to make in-depth studies on channel parameters, a path loss model, modulation techniques, and encoding techniques. This research utilizes BPSK modulation, lognormal, two-ray, and free-space channel models, convolutional encoding, and low-density parity check (LDPC) encoding techniques for investigation purposes. From the research obtained, it is found that LDPC code exhibits a lesser probability of error compared to convolutional coding on BPSK modulated data.