ENI-ETSI Meets the Proactive Network Solutions for Multi-tier Networking

Abstract

Proactive network optimizations (PNO) based on artificial intelligence (AI) technology have been widely introduced to improve end-to-end (E2E) communication quality of services (QoS) of next-generation mobile networks (NGMN). The novelty services under the era of NGMN (e.g., 5G, B5G, and 6G), including service level agreement (SLA) and mission-critical Internet of Things (IoT) applications, the PNO have been proposed to invent future edge infrastructure and empower computation resources for innovation network services obligations based on intelligent edge systems. AI-based PNO has been appealed to contribute to the large-scale edge computing unit (ECU) in terms of diversity management and orchestration (MANO), and it is mainly used to perform proactive network solutions (PNS) for assurance of QoS obligations of time-sensitive network (TSN) services. The network failure issues are the critical challenges of TSN communications and lessen E2E TSN communication QoS metrics. It especially reduces the reliability metrics that are crucial for mission-critical service and perspective of the ultra-reliable low latency communication (URLLC) system. This paper presents state-of-the-art discussions on AI for networking, including opportunities, issues, and trends for next-generation networking.