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Miracle: The Multi-Interface Cross-Layer Extension of ns2.

, , , , and . EURASIP J. Wireless Comm. and Networking, (2010)

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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)Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells., , , and . VTC Fall, page 1-6. IEEE, (2018)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)Design of a unified multimedia-aware framework for resource allocation in LTE femtocells., , , and . MOBIWAC, page 159-162. ACM, (2011)An open source model for the simulation of LTE handover scenarios and algorithms in ns-3., , , and . MSWiM, page 289-298. ACM, (2013)Spectrum-aware channel and PHY layer modeling for ns3., and . VALUETOOLS, page 2. ICST/ACM, (2009)