## 1 Introduction
In [30], the investigators examined the employment of gadget-to-gadget approaches to improve people's cooperation and alleviate the computational load on the edge server in NOMA-centered MEC connections. The publications mentioned above [28; 29; 30] concentrated mostly on the case of individual-cell relationships, ignoring the utmost all-inclusive and interesting challenge of NOMA-centered MEC in multicell networks understudied. This study examines how the NOMA strategy can produce cost-effective MEC in multiple node connections where various clients synchronously delegate processing tasks to their corresponding SBSs. Intra- and inter-cell disturbancein multiple node connections can severely degrade the effectiveness of NOMA-centered MEC if not appropriately maintained [31; 32; 33]. Considering this concern, we propose a combination of wireless and computational power distribution techniques to improve the environmental sustainability of NOMA-centered MEC while meeting clients' utmost permissible latency requirements. In the suggested framework, the non-convex energy utilization optimization challenge is separated into subchannel distribution, allocation of electricity, and computation resource distribution problems. The researchers additionally illustrate why resolving these issues continuously can optimize energy utilisation. The mathematical outcomes demonstrate that their proposed method can improve the computational effectiveness of NOMA-centered MEC in multiple-cell connectivity. NOMA ranks as one of the most intriguing electromagnetic transmission techniques for the forthcoming era of mobile communication. NOMA offers numerous desirable improvements across the conventional orthogonal frequency division multiple access (OFDMA) and today's de facto standard OMA innovations, such as expanded spectral efficacy, lowered delay, superior reliability, and a large interconnection. NOMA's guiding terms of reference provide many users with a single value in terms of duration, intensity, and position [34]. The numerous NOMA methodologies can be broadly classified into two major groups: power-domain NOMA and code-domain NOMA. Several approaches for access dependent on lower-density dissemination and patchy code allocation may be employed to improve the classification of code-domain NOMA. In this setting, lattice-partition has several accessibilities, multiple uses of shared-key in several utilizations, and pattern-division multiple connections strongly correlate with numerous connection strategies [34]. The latest study indicates that NOMA can be utilized in numerous sixth-generation (6G) transmission scenarios involving Machine-to-Machine (M2M) connections and the IoT. Furthermore, there is an indication that efficacy can be improved once NOMA is used with additional effective mobile communication strategies. These include shared interactions, multiple-input multiple-output (MIMO) [35], beam formation, space-time programming network of things programming, and full-duplex. Standards and Technology of NOMA have been developed for the future of American digital TV standard (ATSC 3.0) as layered-division multiplexing (LDM) and launched for the third-generation partnership project (3 GPP) as multi-user superposition transmission (MUST) [34]. As a result of the fact that NOMA permits several users to use the same resource, interference occurs in such systems. Thus, current resource management and interference mitigation strategies, particularly for ultra-dense networks, need to be reconsidered owing to the inclusion of extra disturbance this new technology provides. Beamforming and the resulting difficulties (e.g., precoding) in massive-MIMO systems provide additional obstacles that must be resolved to realise these technologies' full potential. Existing channel coding, modulation, and estimation issues about the physical layer must also be updated. Cognitive, cooperative, and visible light communications are favourable paradigms under NOMA systems compared to traditional methods.