Integrating Artificial Intelligence and 5G in the Era of Next-Generation Computing

The introduction of the 4G/LTE (Long Term Evolution) mobile network has addressed the main obstacle of higher capacity, allowing for the construction of true broadband mobile Internet. This was mainly made possible by a flexible network design and robust physical layer. However, services such as augmented reality (AR), virtual reality (VR), and others that require more bandwidth have been developed in new ways. Furthermore, new services like Internet-of-Vehicles and vehicle communications are putting a substantial demand on mobile networks for enhanced reliability and near-zero-latency performance (IoV). 5G has overcome some of these obstacles by employing a new radio interface based on massive multiple input multiple output (MIMO). However, network operators must consider an advanced level of intelligence in their networks to learn the operational environment and users' behaviours and needs in depth. In order to establish a proactive and efficient self-updatable network, it is also essential to foresee their evolution. We explore the importance of artificial intelligence and machine learning in 5G in order to develop a cost-effective and adaptive next-generation mobile network in this study. In addition, a comparison between the 5G and 4G networks has been done to showcase the capabilities of 5G network over 4G. Further, some practical use cases of AI/ML are also discussed. Although the countries such as China and US have already started working with some of the applications as discussed but in India, 5G technology will take some time to spread its wings in all real-time applications as discussed. This paper can help researchers to start integrating AI and Machine learning with 5G technology.