Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing.

Mai A Riad, Osama El-Ghandour, Ahmed M Abd El-Haleem
Author Information
  1. Mai A Riad: Electronics and Communications Engineering Department, Faculty of Engineering, Helwan University, Helwan 11792, Egypt. ORCID
  2. Osama El-Ghandour: Electronics and Communications Engineering Department, Faculty of Engineering, Helwan University, Helwan 11792, Egypt.
  3. Ahmed M Abd El-Haleem: Electronics and Communications Engineering Department, Faculty of Engineering, Helwan University, Helwan 11792, Egypt. ORCID

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

References

  1. Entropy (Basel). 2018 Sep 02;20(9): [PMID: 33265750]

MeSH Term

Algorithms
Communication
Computer Communication Networks
Humans
Noma
Reproducibility of Results

Word Cloud

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