Application of AI/ML in Network-Slicing-Based Infrastructure of the Next-Generation Wireless Networking Systems

Abstract

The future iteration of cellular networking systems will be very dynamical and variable due to the incorporation of telecommunications with varying sizes, diverse wireless access, and connectivity resources. Emergent applications e.g., machine-to-machines communications, industrial automations and autonomous driving, have more complex requirements based on latency and reliability. The complex requirements pose critical issues to resource orchestration, management of networks, and architecture design in next-generation wireless networking systems. Beginning with demonstrating these issues, this research contributions focusses on providing a critical understanding on the general infrastructure of the next-generation wireless networking systems and research directions under this general infrastructure. The first part of our discussion introduces infrastructure centered on network slicing and specifies location and the reason as to why AI should be deployed there. Generally, this research defines the potentials and benefits of artificial intelligence-based methods in the study of next-generation wireless networking systems.