SliceOptiAI: Smart Resource Allocation for Seamless Network Slicing

An AI-driven model for resource allocation in network slicing is examined in this research paper. The model's algorithm comprises three stages, each with its specific algorithm. Resource allocation begins with reservation, where the controller reserves minimum resources for each slice. The second stage is autonomous radio resource management, mainly focusing on AI model training and decision engines. The last stage is physical resource allocation, where resources are distributed to the slices and users. Simulations on MATLAB software indicated this model to be effective in enhancing resource allocation.