Leveraging Artificial Intelligence for the Enhanced Management of Telecommunications Infrastructure Performance

Abstract

The rapid advancements in mobile service technologies have significantly increased the number of telecommunications infrastructure elements. Despite this growth, infrastructure management largely remains a manual process, with human intervention required to assess the status of various network components. Key performance indicators such as availability, reliability, accessibility, integrity, and traffic management continue to rely on human analysis, often leading to inaccurate or delayed insights. This paper explores the potential for adopting Artificial Intelligence (AI) to enhance the management of telecommunications infrastructure, focusing on how Mobile Network Operators (MNOs) can integrate AI into their operational frameworks. The study particularly examines how AI can be effectively applied in multi-vendor environments, where MNOs typically manage infrastructure from diverse suppliers. By leveraging AI, MNOs can automate the analysis and monitoring of network elements, allowing for real-time, data-driven decision-making. This transformation would not only improve operational efficiency but also drive increased revenue, enhance user experience, expand customer bases, and enable proactive network monitoring. The findings highlight the immense potential of AI in revolutionizing the way telecommunications infrastructure is managed, ultimately ensuring more reliable and optimized network performance.