QoS Identifier and Slice Mapping in 5G and Non-Terrestrial Network Interconnected Systems

TL;DR

This paper proposes an optimization framework for improved QoS management in 5G and non-terrestrial network interconnections, introducing a new NTN QoS Identifier and traffic grouping for efficient resource allocation.

Contribution

It introduces an NTN-specific QoS identifier and a traffic grouping method to enhance resource control and routing in 5G-NTN interconnected systems.

Findings

Improved network performance with proposed mapping schemes

Effective resource management in large-scale NTN systems

Enhanced QoS handling for diverse traffic requirements

Abstract

The interconnection of 5G and non-terrestrial networks (NTNs) has been actively studied to expand connectivity beyond conventional terrestrial infrastructure. In the 3GPP standardization of 5G systems, the 5G Quality of Service (QoS) Identifier (5QI) is defined to characterize the QoS requirements of different traffic requirements. However, it falls short in capturing the diverse latency, capacity, and reliability profiles of NTN environments, particularly when NTNs are used as backhaul. Furthermore, it is difficult to manage individual traffic flows and perform efficient resource allocation and routing when a large number of 5G traffic flows are present in NTN systems. To address these challenges, we propose an optimization framework that enhances QoS handling by introducing an NTN QoS Identifier (NQI) and grouping 5G traffic into NTN slices based on similar requirements. This enables unified resource control and routing for a large number of 5G flows in NTN systems. In this paper, we present the detailed procedure of the proposed framework, which consists of 5QI to NQI mapping, NTN traffic to NTN slice mapping, and slice-level flow and routing optimization. We evaluate the framework by comparing multiple mapping schemes through numerical simulations and analyze their impact on overall network performance.