Mission-Critical Public Safety Networking: An Intent-Driven Service Orchestration Perspective

TL;DR

This paper introduces an intent-driven network management framework for public safety services in beyond 5G networks, demonstrating its effectiveness through simulation results that meet key performance metrics.

Contribution

It proposes a novel intent definition and orchestration architecture tailored for mission-critical public safety services in beyond B5G networks, validated by simulation.

Findings

MC PTT services meet access time and latency targets

Intent processing overhead is within acceptable range

IBN enables scalable management of PS services

Abstract

Intent-based networking (IBN) provides a promising approach for managing networks and orchestrating services in beyond 5G (B5G) deployments using modern service-based architectures. Public safety (PS) services form the basis of keeping society functional, owing to the responsiveness and availability throughout the network. The provisioning of these services requires efficient and agile network management techniques with low-overhead and embedded intelligence. IBN incorporates the service subscribers in a model-driven approach to provision different user-centric services. However, it requires domain-specific and contextual processing of intents for abstracted management of network functions. This work proposes an intent definition for PS and mission critical (MC) services in beyond B5G networks, as well as a processing and orchestration architecture on top of MC push-to-talk (PTT) use case. The simulation results show that MC PTT services adhere to the key performance indicators of access time and mouth-to-ear latency bounded by approximately 250 and 150 milliseconds, respectively, with an additional overhead experienced during the intent processing in the range of 20- 40 milliseconds. This validates the premise of IBN in providing flexible and scalable management and service orchestration solution for PS next generation networks.