The role of Artificial Intelligence in TRANTOR architecture
By Eva Lagunas, Madyan Al-Senwi, Victor Monzon-Baeza and Jorge Querol, University of Luxembourg,… ContinueThe role of Artificial Intelligence in TRANTOR architecture
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Pol Henarejos
Pol Henarejos received the Telecommunication Engineering degree from the Telecommunication Engineering High School from Barcelona (ETSETB) of Technical University of Catalonia (UPC) in May 2009. In 2012, he obtained the Master of Science in Research on Information and Communication Technologies from UPC. In 2017, he obtained the Ph.D. degree from UPC, with a distinction Cum Laude. He joined the CTTC in January 2010 in Engineering area and he worked prototyping the physical layer communication technologies using software development. He is an expert in terrestrial and satellite technologies, such as LTE, 5G-NR, DVB-S2X, BGAN or Li-Fi. He is the Principal Investigator of Horizon Europe TRANTOR project. He also participated in European projects such as PHYDYAS, FANTASTIC-5G, ATRIA and TRANTOR, in European Space Agency programs (Satnex III, Satnex IV, Satnex V, SATAI) and with industrial contracts. He is also the promoter of the CASTLE Platform, a cloudified architecture for hybrid satellite and terrestrial networks. Currently he is researching on the development of new Artificial Intelligence algorithms for satellite communications, implementation of physical stack of many standards and enabling 5G and beyond technologies on flexible multicast and broadcast communications.
Evaluation of New Radio Beam management Framework for LEO Satellites
The next paper in these series is related with beam management in New… ContinueEvaluation of New Radio Beam management Framework for LEO Satellites
Functional Split Evaluation in NTN for LEO Satellites
With the next paper, we evaluate the functional split in NTN for LEO… ContinueFunctional Split Evaluation in NTN for LEO Satellites
Open Datasets for Satellite Radio Resource Control
The next paper is about datasets used in TRANTOR when applying AI to… ContinueOpen Datasets for Satellite Radio Resource Control
Towards a Fully-Observable Markov Decision Process with Generative Models for Integrated 6G-Non-Terrestrial Networks
In the next paper of TRANTOR paper series, we talk about Markov Decision… ContinueTowards a Fully-Observable Markov Decision Process with Generative Models for Integrated 6G-Non-Terrestrial Networks
Learning-based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks
The next paper of TRANTOR paper series is an article of multipath traffic… ContinueLearning-based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks
A Federated Channel Modeling System using Generative Neural Networks
Next paper of TRANTOR paper series is about AI And federated channel modeling… ContinueA Federated Channel Modeling System using Generative Neural Networks
Single- and Multi-Connectivity for Multi-Satellite 6G Communication Networks
The fifth paper of TRANTOR paper series is about multiconnectivity in 6G NTN,… ContinueSingle- and Multi-Connectivity for Multi-Satellite 6G Communication Networks
CVaR-based Robust Beamforming Framework for Massive MIMO LEO Satellite Communications
We continue with the fourth paper of TRANTOR paper series: massive MIMO in… ContinueCVaR-based Robust Beamforming Framework for Massive MIMO LEO Satellite Communications
Traffic Scheduling in Non-Stationary Multipath Non-Terrestrial Networks: A Reinforcement Learning Approach
The third paper for today: traffic scheduling in NTN. Do not miss it.… ContinueTraffic Scheduling in Non-Stationary Multipath Non-Terrestrial Networks: A Reinforcement Learning Approach