In the next generation of mobile communication networks, unprecedented challenges are required to be met, such as much higher data rates and spectrum efficiency, lower latency, and massive connectivity. Non-orthogonal multiple access (NOMA) has recently been proposed as a promising technology to achieve much superior spectral efficiency compared to conventional orthogonal multiple access techniques employed in present communication systems. A salient feature of NOMA is its use of successive interference cancellation (SIC) to decode users’ information when multiple users are allowed to transmit in same time/frequency/code domain. In this paper, we aim to exploit an aspect of SIC, namely the availability of other users’ data to realize a cooperative NOMA system. EXtrinsic information transfer (EXIT) charts are utilized to examine the performance of proposed system in terms of user fairness while employing IRregular convolutional codes (IRCC)s. The EXIT chart using IRCC evaluates the convergence analysis for the proposed system. Further, to evaluate the system performances in cooperative NOMA system, we have derived the expressions for the achievable rates which are obtained independently and utilized them in evaluating the experimental data for the proposed NOMA model.

在下一代移动通信网络中，需要解决前所未有的挑战，例如更高的数据速率和频谱效率，更低的延迟以及大规模的连接性。与当前通信系统中采用的常规正交多址技术相比，非正交多址（NOMA）最近已被提出作为一种有前途的技术，以实现更高的频谱效率。NOMA的一个显着特征是当允许多个用户在相同的时间/频率/代码域中进行传输时，它使用连续干扰消除（SIC）解码用户的信息。在本文中，我们旨在利用SIC的一个方面，即其他用户数据的可用性来实现协作式NOMA系统。外来信息传输（EXIT）图表用于在使用IRregular卷积码（IRCC）的情况下根据用户公平性检查提议的系统的性能。使用IRCC的EXIT图表评估了拟议系统的收敛性分析。此外，为了评估协同NOMA系统中的系统性能，我们导出了可独立获得的可实现速率的表达式，并将其用于评估所提出的NOMA模型的实验数据。