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Non-orthogonal multiple access (NOMA) is one of the key technologies to servein ultra-dense networks with massive connections which is crucial for Internetof Things (IoT) applications. Besides, NOMA provides better spectral efficiencycompared to orthogonal multiple access (OMA) schemes. However, in NOMA,successive interference canceler (SIC) should be implemented for interferencemitigation and mostly in the literature, perfect SIC is assumed for NOMAinvolved systems. Unfortunately, this is not the case for practical scenariosand this imperfect SIC effect limits the performance of NOMA involved systems.In addition, it causes unfairness between users. In this paper, we introducereversed decode-forward relaying NOMA (R-DFNOMA) to improve user fairnesscompared to conventional DFNOMA (C-DFNOMA) which is widely analyzed inliterature. In the analysis, we define imperfect SIC effect dependant tochannel fading and with this imperfect SIC, we derive exact expressions forergodic capacity (EC) and outage probability (OP). Moreover, we evaluate biterror performance of proposed R-DFNOMA and derive bit error probability (BEP)in closed-form which has not been also studied well in literature. Then, wedefine user fairness index in terms of all key performance indicators (KPIs)(i.e., EC, OP and BEP). Based on extensive simulations, all derived expressionsare validated, and it is proved that proposed R-DFNOMA provides better userfairness than C-DFNOMA in terms of all KPIs. Finally, we discuss the effect ofpower allocations at the both source and relay on the performance metrics anduser fairness

Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC