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.

Keywords: 5G; H-NOMA; HetNet; RAN slicing; UE-slice association; UE-slice pairing; eMBB; matching game; uRLLC.

Figure 1

Contribution of this work (Table 1).

Figure 2

System Model.

Figure 3

An illustration of eMBB and uRLLC users down-link PD-NOMA HetNet scheme.

Figure 4

Illustration of the proposed heterogeneous- NS(HNS) pairing.

Figure 5

The DL total throughput for uRLLC UEs versus number of uRLLC UEs. (a) ${\mathrm{Ґ}}_{be}^{nm}$ > ${\mathrm{Ґ}}_{bl}^{nm}$. (b) ${\mathrm{Ґ}}_{bl}^{nm}$ > ${\mathrm{Ґ}}_{be}^{nm}$.

Figure 6

The DL average throughput for eMBB UEs versus number of uRLLC UEs.

Figure 7

The outage-probability for uRLLC UEs versus number of uRLLC UEs.

Figure 8

The DL total throughput for eMBB UEs versus number of eMBB UEs. (a) ${\mathrm{Ґ}}_{be}^{nm}$ > ${\mathrm{Ґ}}_{bl}^{nm}$. (b) ${\mathrm{Ґ}}_{bl}^{nm}$ > ${\mathrm{Ґ}}_{be}^{nm}$.

Figure 9

The outage-probability for eMBB UEs versus number of eMBB UEs.

Figure 10

The DL average throughput for eMBB UEs versus offered load uRLLC.