AI-DRIVEN NETWORK OPTIMIZATION FOR 5G AND BEYOND
Keywords:
AI-Driven Network Optimization, 5G/6G Technologies, Network Automation, Machine Learning In Telecommunications, Network Performance EnhancementAbstract
This comprehensive article explores the transformative role of Artificial Intelligence in optimizing modern telecommunications networks, particularly focusing on 5G and future 6G systems. The article examines how AI-driven solutions revolutionize network management through advanced data analysis, pattern recognition, and real-time optimization capabilities. It investigates key technologies and techniques, including machine learning models, predictive analytics, and autonomous network operations, while assessing their impact on network efficiency, service quality, and operational costs. The article also delves into future prospects and challenges, addressing technical hurdles, operational considerations, and regulatory frameworks shaping AI-enabled networks' evolution. Through a detailed examination of implementation strategies and performance metrics, this article provides insights into the crucial role of AI in addressing the growing complexity of network management and preparing for next-generation telecommunications infrastructure.
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