Self-Healing Network Implementation Whitepaper

This whitepaper outlines the concept and implementation of self-healing networks, which utilize automation and artificial intelligence (AI) to enhance network performance and reliability. It begins with a definition of self-healing networks and details the data and intelligence requirements necessary to realize their full potential. The paper describes three dimensions of self-healing: self-monitoring, self-healing, and self-optimizing, each contributing to improved network resilience and efficiency. It also discusses the evolution of self-healing networks, referencing the TM Forum's 'Autonomous Networks Manifesto' and the impact of cloud services. The document highlights the drivers and barriers to self-healing networks, emphasizing the importance of automation in managing complex network environments, particularly with the rise of IoT and 5G technologies. Furthermore, it identifies the need for improved data collection and the replication of human expertise through advanced machine learning techniques to enhance self-healing capabilities. Overall, the paper presents a comprehensive view of the current state and future directions of self-healing networks.