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Umbert, A Novel Approach for Dynamic Capacity Sharing in Multitenant Scenarios, 31st International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2020-Fall), London(England), 21/August/2020 to 3/Sept/2020 Umbert, A Deep Q-Network Approach for Radio Access Network Slicing, XXXV Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2020), Málaga( Spain). Pérez-Romero, O.Sallent, A.Umbert, Evaluation of a Multi-cell and Multi-tenant Capacity Sharing Solution under Heterogeneous Traffic Distributions, IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki(Finland), 25/April/2021-28/April/2021 Sallent, Leveraging User Equipment for Radio Access Network Augmentation,IEEE Conference on Standards for Communications and Networking (CSNC), 15/December/2021 to 17/December/2021 Umbert, Impact Analysis of Training in Deep Reinforcement Learning-based Radio Access Network Slicing, IEEE Consumer Communications & Networking Conference 2022 (CCNC 2022), Virtual Conference. Vilà, F.Casadevall, A Deep Q Network-based Multi-Connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems, 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), Crete(Greece), Virtual Conference, 17/June/2022 to 20/June/2022 Vilà, F.Casadevall, Deep Learning-based Multi-Connectivity Optimization in Cellular Networks, IEEE 95th Vehicular Technology 2022(VTC2022-Spring),Helsinki(Finland), 19/June/2022 to 22/June/2022 Sallent, On the Value of Context Awareness for Relay Activation in Beyond 5G Radio Access Networks, IEEE 95th Vehicular Technology Conference (VTC2022-Spring), Helsinki(Finland),19/June/2022 to 22/June/2022