Vés al contingut (premeu Retorn)

MASTEAM-MATT Talk - Jose Suárez Varela - Unleashing the potential of Open RAN: Leveraging Deep Learning for Radio Access Network Control and Management

Next MASTEAM-MATT talk: "Unleashing the potential of Open RAN: Leveraging Deep Learning for Radio Access Network Control and Management" from Jose Suárez Varela. Wednesday May 29th at 18h. Online by Meet
MASTEAM-MATT Talk - Jose Suárez Varela -  Unleashing the potential of Open RAN: Leveraging Deep Learning for Radio Access Network Control and Management

The EETAC Master's degrees in Applied Telecom. and Engineering Management (MASTEAM) (obriu en una finestra nova) and Advanced Telecommunications Technologies (MATT) (obriu en una finestra nova) organize a weekly series of activities (talks, technical visits, discussion pannels) that complement the academic activities with real-world experiences from companies, research centres and institutions in the main topics of the master: Internet of Things, Smart Cities, 5G mobile communications, Software-Defined Networking (SDN) and Radio (SDR), cloud computing, augmented reality and audiovisual services, among others.

 

This week's activity will be a talk session from Jose Suárez Varela

Speaker: Jose Suárez Varela 

Title:  Unleashing the potential of Open RAN: Leveraging Deep Learning for Radio Access Network Control and Management


Abstract:  Nowadays, the networking community is actively working on the development of the key technologies that will drive the success of 6G networks based on Open RAN. In this exciting landscape, Deep Learning can be a game-changer in propelling such a revolution, especially for processing the vast amounts of data collected in networks, uncovering intricate patterns in that data, and making complex decisions in real time. This talk will present some ongoing efforts from the Telefonica Research team to apply cutting-edge Deep Learning techniques for control and management of future 6G networks. We will introduce some use cases that we are exploring in the Open6G project where we leverage Deep Learning for achieving unprecedented levels of connectivity and user experience. Next, we will discuss some key open challenges still ahead to achieve mature Deep Learning solutions applied to mobile networks. Finally, we will outline some future directions that may help materialize robust Deep Learning-based solutions for the mobile networks of tomorrow.

These technologies are being used and developed in the OPEN6G project . The Open6G coordinated project -Open RANs for Revolutionary 6G Systems- conducts applied research on open RANs currently underway with the goal of designing and developing a 6G-based open test platform for the new network and sensing applications related to smart surfaces.

 

Bio: José Suárez-Varela is an Associate Researcher at Telefónica Research from 2022. Prior to this, he was a postdoctoral researcher at the Barcelona Neural Networking center (BNN-UPC), between 2020 and 2022. He holds a Ph.D. in Computer Science from the Universitat Politècnica de Catalunya (UPC), in 2020, and a B.Sc and M.Sc. degrees in Telecommunication Engineering from the Universidad de Granada (UGR). He was co-Principal Investigator of the IGNNITION project (H2020 NGI POINTER), and main organizer of the GNNet challenge 2020-2022, an international competition co-organized with ITU-T (United Nations). His research record includes publications in major conferences and journalsin the networking field, such as IEEE INFOCOM, IEEE JSAC, IEEE ICNP, or IEEE/ACM ToN. His main research interests are in data-driven networking, including Deep Learning-based network control and management, traffic monitoring and analysis, and cybersecurity.


When: Wednesday May 29th at 18h

Link to the recorded conference

 

 

 

 

 

arxivat sota: , , ,