AI/ML Driven 5G Networks: From Deployment to Optimization

Fifth-generation (5G) mobile networks introduce unprecedented performance requirements including enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). These requirements demand highly adaptive, automated, and intelligent management. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as essential enablers for 5G system deployment, installation, configuration, and optimization. This paper explores the integration of AI/ML with 3GPP-defined network functions and management frameworks, focusing on specifications 3GPP TS 28.104, 3GPP TS 28.105, and 3GPP TR 29.908, while also analyzing how AI-driven analytics enhance deployment, coverage, sustainability, energy efficiency, and user experience.