Ai-Driven Network Slicing for 5G And Beyond

Abstract

This article examines the revolutionary impact of Artificial Intelligence on enhancing contemporary telecommunications networks, with specific emphasis on 5G and forthcoming 6G systems. The essay analyzes how AI-driven solutions transform network management via sophisticated data analysis, pattern recognition, and real-time optimization capabilities. It examines essential technologies and methodologies, including machine learning models, predictive analytics, and autonomous network operations, while evaluating their effects on network efficiency, service quality, and operating expenditures. The essay examines future potential and problems, focusing on technological obstacles, operational factors, and legal frameworks influencing the development of AI-enabled networks. This paper offers insights into the essential function of AI in managing the increasing complexity of network administration and in preparing for next-generation telecoms infrastructure via a thorough analysis of deployment methodologies and performance indicators.