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
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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.
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
Gateway Station Geographical Planning for Emerging Non-Geostationary Satellites Constellations
We continue with TRANTOR paper series. The second paper is about gateway planning.… ContinueGateway Station Geographical Planning for Emerging Non-Geostationary Satellites Constellations
From 5G to 6G: Revolutionizing Satellite Networks through TRANTOR Foundation
We start a series of papers that we presented in the first 9… ContinueFrom 5G to 6G: Revolutionizing Satellite Networks through TRANTOR Foundation
Multi-Connectivity for Multi-Band, Multi-Orbital Satellites: Opportunities, and Scenarios
In the expanding 5G era, the integration of Non-Terrestrial Networks (NTN) with terrestrial… ContinueMulti-Connectivity for Multi-Band, Multi-Orbital Satellites: Opportunities, and Scenarios
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