A Comparative Study of Artificial Intelligence and Machine Learning In 5G Innovation

4G/LTE (Long Term Evolution) mobile network deployment has addressed the high capacity problem to establish genuine broadband mobile Internet.5G has overcome some of these difficulties via huge MIMO radio interface. Adopting software-defined networks (SDN) and network function virtualization (NFV) has given flexibility, allowing operators to handle demanding vertical market services.Strong physical layer and flexible network architecture made this feasible. Virtual reality (VR), augmented reality (AR), etc., are bandwidth-intensive. Mobile networks face new applications that require high dependability and near-zero latency, including car communications or Internet-of-Vehicles (IoV).This article describes the role of AI and ML in 5G and beyond to develop a cost-effective, adaptive next-generation mobile network. AI/ML use in network lifecycle is explored. MATLAB mimics these findings.