In the beyond 5G networks, extraordinary demands for data rates and capacity are to be met. A possible candidate to address these challenges is Non-Orthogonal Multiple Access (NOMA) technique, which leads to higher diversity gains and massive connectivity. One caveat of NOMA is the increased receiver complexity to nullify the Inter User Interference (IUI) through Successive Interference Cancellation (SIC). In this paper, a cooperative relaying scheme is employed to improve the overall diversity gain and data rates of the NOMA system. Extrinsic Information Transfer (EXIT) charts are employed to examine the cooperative NOMA system’s user fairness as well as its performance while implementing the IRregular Convolutional Code (IRCC). The EXIT chart using IRCC evaluates the convergence analysis for the proposed system. Furthermore, the implementation of EXIT charts for optimization convergence is exploited by using power optimization and the SIC for the joint rate to evaluate the fairness of the system. Simulation results shows that cooperative NOMA helps to achieve higher diversity gain and improved data rate for the cooperative NOMA system.