Machine learning applied to the beam selection problem in mmwave networks

• Grant number: 24/16756-1
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2024
• End date: October 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: José Ferreira de Rezende
• Grantee: Amir Hassan Khatibi Moghadam
• Host Institution: Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa (COPPE). Universidade Federal do Rio de Janeiro (UFRJ). Ministério da Educação (Brasil)
• Associated research grant: 20/05127-2 - SAMURAI: smart 5G core and multiran integration, AP.TEM

Abstract

In this research project, we will develop a software framework for the automatic generation of device mobility scenarios and patterns, as well as the execution of simulations, the collection of generated data and the application of ML/AI techniques in the beam selection in millimeter wave networks and corresponding performance assessments.