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SWAP Project: Beyond the State of the Art on Harvested Energy-Powered Wireless Sensors Platform Design.

, , , , and . MASS, page 837-842. IEEE Computer Society, (2011)

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Multi-Task Learning for Efficient Management of Beyond 5G Radio Access Network Architectures., , , and . IEEE Access, (2021)Design, implementation and experimental validation of a 5G energy-aware reconfigurable hotspot., , , , , , , , , and . Comput. Commun., (2018)Improved Resource Management through User Aggregation in Heterogeneous Multiple Access Wireless Networks., , , , and . IEEE Trans. Wirel. Commun., 7 (9): 3329-3334 (2008)How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources?, , , and . CoRR, (2022)Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids., , , and . Deep Learning for Unmanned Systems, volume 984 of Studies in Computational Intelligence, Springer, (2021)Energy sustainability of next generation cellular networks through learning techniques.. Polytechnic University of Catalonia, Spain, (2018)An open source model for the simulation of LTE handover scenarios and algorithms in ns-3., , , and . MSWiM, page 289-298. ACM, (2013)Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells., , , and . VTC Fall, page 1-6. IEEE, (2018)Spectrum-aware channel and PHY layer modeling for ns3., and . VALUETOOLS, page 2. ICST/ACM, (2009)Switch-On/Off Policies for Energy Harvesting Small Cells through Distributed Q-Learning., , , and . WCNC Workshops, page 1-6. IEEE, (2017)