# Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing
###### Abstract  
Multiservice cellular in Radio Access Network (RAN) Slicing has recently attained huge interest in enhancing isolation and flexibility. However, RAN slicing in heterogeneous networks (HetNet) architecture is not adequately explored. This study proposes a pairing-network slicing (NS) approach for Multiservice RAN that cares about quality of service (QoS), baseband resources, capacities of wireless fronthaul and backhaul links, and isolation. This intriguing approach helps address the increased need for mobile network traffic produced by a range of devices with various QoS requirements, including improved dependability, ultra-reliability low-latency communications (uRLLC), and enhanced broadband Mobile Services (eMBB). Our study displays a unique RAN slicing framework for user equipment (UE) for joint user-association. Multicell non-orthogonal multiple access (NOMA)-based resource allocation across 5G HetNet under successive interference cancelation (SIC) is seen to achieve the best performance. Joint user-slice pairing and association are optimization problems to maximize eMBB UE data rates while fulfilling uRLLC latency and reliability criteria. This is accomplished by guaranteeing the inter- and intra-isolation property of slicing to eliminate interferences between eMBB and uRLLC slices. We presented the UE-slice association (U-S. A) algorithm as a one-to-many matching game to create a stable connection between UE and one of the base stations (BSs). Next, we use the UE-slice pairing (U-S. P) algorithm to find stable uRLLC-eMBB pairs that coexist on the same spectrum. Numerical findings and performance analyses of the submitted association and pairing technique show they can all be RAN slicing criteria. We prove that the proposed algorithm optimizes system throughput while decreasing uRLLC latency by associating and pairing every uRLLC user in mini slots. 22 September 20  
i.e., orthogonal multiple access (OMA), where the availability of the radio resources strictly limits the number of served UEs at a given time instant. Considering the expected explosive number of devices, massive connectivity necessitates more spectrum-efficient access schemes with extended coverage [3]. On the other hand, non-orthogonal multiple access (NOMA) has recently attracted attention by permitting sharing of the same radio resources among a set of UEs. NOMA can support more users than the number of available orthogonal resources [4], leading to higher spectral efficiency and user fairness compared to standard OMA techniques. The principle of NOMA leverages the concept of superposition coding (SPC) at the transmitter to multiplex users in the power domain and successive interference cancellation (SIC) at the receiver [5]. The 5G network services have been classified into three categories by the International Telecommunication Union (ITU): Enhanced Mobile Broadband (eMBB), Ultra-reliable and Low-latency Communications (uRLLC), and Massive Machine Type Communications (mMTC). The eMBB service focuses on high bandwidth requirement services, uRLLC focuses on latency-sensitive services, and mMTC focuses on services with high connection density requirements [6]. However, those services cannot always be achieved through a common network setting. To allow the coexistence of these heterogeneous services with diverse requirements within the same Radio Access Network (RAN) architecture, the concept of network slicing (NS) has been proposed [7], which slices the network into logical and physical sub-networks, usually with customized requirements in terms of latency, energy efficiency, mobility, massive connectivity, and throughput, aiming at guaranteeing minimum performance requirements and isolation [8]. The network slice comprises RAN and core network [9] to support end-to-end service requirements. This can be performed thanks to network softwarization and virtualization (SDN, NFV), which are considered the primary enabler of Resource as a Service (RaaS) beyond 5G (BSG) [10].