Modeling and solving the problem of intelligent orchestration of network slices with non-3GPP access

• Grant number: 25/15794-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2025
• End date: July 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Kleber Vieira Cardoso
• Grantee: Eduardo Borges Bottosso
• Host Institution: Instituto de Informática. Universidade Federal de Goiás (UFG). Ministério da Educação (Brasil). Goiânia , SP, Brazil
• Associated research grant: 20/05127-2 - SAMURAI: smart 5G core and multiran integration, AP.TEM

Abstract

This Scientific Initiation project aims to investigate intelligent orchestration of network slices using non-3GPP access technologies integrated with a 3GPP core. The proposal is to formalize this problem as a Markov Decision Process (MDP), representing aspects such as signal quality and application demand as states, and channel choices as actions. To solve the problem, a solution based on Deep Reinforcement Learning will be developed, capable of handling complex and high-dimensional environments. (AU)