with an extensive number of components and characteristics. Consequently, self-organizing networks (SONs) have emerged as crucial components in managing wireless cellular networks [1]. By limiting human involvement in a network through various capabilities, such as self-healing, self-optimization, and self-configuration, SON technology seeks to lower capital and operating costs [2]. A significant use case for self-healing is the control of cell outages. It is applicable to base stations (BSs) that are no longer able to provide services to customers inside their zone, creating a coverage gap in the network [3]. To enhance coverage and capacity, cellular networks are using many accessing techniques like frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA) and orthogonal frequency division multiple access (OFDMA). These accessing techniques use the concept of orthogonality to reduce the interference between the users, but it also reduces the number of users multiplexed to access the spectrum. To increase the spectral efficiency (SE) of networks and the throughput of cell-edge users by enabling more users as compared to the available orthogonal resources, non-orthogonal multiple access (NOMA) has emerged as a promising technique in 5G networks [4]. NOMA can be integrated with MIMO, cognitive radio (CR), HetNets, milli-meter waves, mobile edge computing (MEC), visible light communication (VLC), vehicle communication, etc. This will provide high spectral efficiency, data rates and massive connectivity and decreases inter-cell interference and intra-cell interference. Initially, NOMA was used with single cells to improve spectral efficiency. The spectral efficiency is increased by increasing the multiplexed users accessing the single channel with different channel gains. NOMA may be an excellent choice for cell outage compensation due to its capacity to improve performance for cell edge users. In this case, the cell edge users that are participating in the compensation procedure are the users who are experiencing an outage (the unsuccessful users). In [5], the authors attempted the first effort to represent the dual issue of unsuccessful user association and power control quantitatively in a NOMA-based cell outage compensation system. NOMA is divided into the power domain NOMA (PDNOMA) and code domain NOMA (CDNOMA). In PDNOMA, the multiplexing is based on the transmitted power and in CDNOMA, multiplexing is based on code. Along with CDNOMA and PDNOMA, there were other NOMA techniques like signature NOMA (S-NOMA) and compressing-based NOMA (CS-NOMA). In a recent study, the authors investigate the power domain NOMA [4], which divides users into two groups: those close to the network infrastructure, who receive low transmission powers, and those further away, who receive higher transmission powers. It may provide features like fast throughput and minimal lag time in communication, which are necessary for meeting the criteria. The usual successive interference cancellation (SIC) [6] decoding approach is used at the receiver in a NOMA-based system to ensure the system meets the criteria. Multiple user devices increase the complexity of the wireless system in areas such as low-latency real-time transmission, secrecy rate maximization, resource allocation, and signal identification. Cooperative communication has been introduced in NOMA, which refers to the employment of a relay to improve the system's capacity to serve many customers and to increase the transmission area. There are two varieties of cooperative NOMA communication: user-assisted and relay-assisted [7; 8]. In relay-aided transmission, an extra relay aids in communication between users; in this scenario, a near user helps a remote user to send data. A relay either decodes the message or transmits it to the recipient as is or amplifies it and sends it on to the recipient as a larger version [9]. Recently, deep learning-based NOMA systems have been utilized in several application scenarios.