Irene Vilà Muñoz

UPC-TSC

Campus Nord

C/Jordi Girona, 1-3

08034 Barcelona, Spain

Office: D4-112

Irene Vilà is currently postdoctoral research fellow in the Mobile Communication Research Group (GRCM) of the Department of Signal Theory and Communications (TSC) at Universitat Politècnica de Catalunya (UPC), Barcelona.

She received the B.E. degree in Telecommunication Systems Engineering in 2015, the M.S. degree in Telecommunication Engineering in 2017 and the PhD degree in Signal Theory and Communications in 2022, all from UPC. Her M.S. and PhD degrees were supported by a private grant by Everis (NTT Data) and a public FI AGAUR grant by the Government of Catalunya, respectively.

She has recently been awarded with the postdoctoral “Margarita Salas” grant for training young doctors by the Ministry of Universities of the Spanish Government. This postdoc stage will take place between the CONNECT center in Trinity College Dublin (TCD) and GRCM of TSC in UPC.

She has been involved in Spanish and European research-projects founded by both public and private organizations as researcher. She has published more than 15 papers in international journals and conferences, receiving two best paper runner-up awards in conferences. Also, she has contributed to the community with her software development in open repositories.

Her research interests focus on the field of mobile communications, particularly on radio resource management, network optimization, Radio Access Network (RAN) Slicing and the application of artificial intelligence and, particularly, machine learning to the RAN management.

Key words:

• Wireless technologies and networks: UMTS/HSPA, LTE, LTE-A, 5G NR.

• 5G RAN (Radio Access Network) planning and management. • Radio network optimisation. • Network slicing.

• Artificial Intelligence and Machine Learning solutions for RAN management and SON.

• Reinforcement learning-based algorithms.

• Deep Reinforcement Learning.

• Multi-Agent Reinforcement Learning.

• Transfer Learning.

• O-RAN architecture.

Google Scholar Profile: https://scholar.google.com/citations?user=1e8gIyIAAAAJ&hl=es

Github Repository: https://github.com/grcmupc/portrait