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EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI., , , and . IEEE/ACM Trans. Netw., 31 (6): 2978-2993 (December 2023)Online reinforcement learning for adaptive interference coordination., , , and . Trans. Emerg. Telecommun. Technol., (2020)Online Learning for Energy Saving and Interference Coordination in HetNets., , , and . IEEE J. Sel. Areas Commun., 37 (6): 1374-1388 (2019)An Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks., , , , and . IEEE Trans. Wirel. Commun., 20 (4): 2251-2265 (2021)AutoML for Video Analytics with Edge Computing., , , and . INFOCOM, page 1-10. IEEE, (2021)Experimental Evaluation of Power Consumption in Virtualized Base Stations., , , , and . ICC, page 1-6. IEEE, (2021)Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control., , , , , and . MobiCom, page 59:1-59:3. ACM, (2019)vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs., , , , , and . MobiCom, page 30:1-30:16. ACM, (2019)Online learning for interference coordination in heterogeneous networks., , , and . ICC, page 1-6. IEEE, (2017)Data-Driven Configuration of Interference Coordination Parameters in HetNets., , and . IEEE Trans. Vehicular Technology, 67 (6): 5174-5187 (2018)