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Neural network-based learning schemes for cognitive radio systems., , and . Comput. Commun., 31 (14): 3394-3404 (2008)Deep Learning Approaches for Mobile Trajectory Prediction., , and . GLOBECOM (Workshops), page 1-6. IEEE, (2021)Exploiting context, profiles, and policies in dynamic sub-carrier assignment algorithms for efficient radio resource management in OFDMA networks., , and . Ann. des Télécommunications, 65 (7-8): 359-374 (2010)Quality-of-Trust in 6G: Combining Emotional and Physical Trust through Explainable AI., , , , , , and . VTC Fall, page 1-7. IEEE, (2023)Introducing call admission control policies in handoff algorithms' modeling for radio-over-fiber networks at 60 GHz., , , , , and . CITS, page 1-5. IEEE, (2015)Core functional and network empower mechanisms of an operator-driven, framework for unifying autonomic network and service management., , , , , , , , and . CAMAD, page 191-195. IEEE, (2012)Coverage and Capacity Optimization in Heterogeneous Networks (HetNets): A Green Approach., , , , , , and . ISWCS, page 1-5. VDE-Verlag / IEEE, (2013)A Framework to Support Interoperability in IoT and Facilitate the Development and Deployment of Highly Distributed Cloud Applications., , and . InterIoT/SaSeIoT, volume 190 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 41-48. (2016)Optimisation of Radio Access Network Operation Introducing Self-x Functions: Use Cases, Algorithms, Expected Efficiency Gains., , , , , , , , , and . VTC Spring, IEEE, (2009)Green footprint of Cognitive Management Technologies for Future Networks., , , and . MIPRO, page 645-649. IEEE, (2011)