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A Bayesian Approach for Automated Troubleshooting for UMTS Networks., , , , and . PIMRC, page 1-5. IEEE, (2006)Comparison of probabilistic models used for diagnosis in cellular networks., , , and . VTC Spring, page 981-985. IEEE, (2006)Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios., , , , , and . VTC Fall, page 1-7. IEEE, (2021)Edge Sectors Detection in Mobile Communications Networks., , , and . EuCNC, page 586-591. IEEE, (2019)Automated Diagnosis for UMTS Networks Using Bayesian Network Approach., , , , , , and . IEEE Trans. Vehicular Technology, 57 (4): 2451-2461 (2008)Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios., , , , , , , , and . J. Electr. Comput. Eng., (2012)Contextualized indicators for online failure diagnosis in cellular networks., , , and . Comput. Networks, (2015)Estimation of Video Streaming KQIs for Radio Access Negotiation in Network Slicing Scenarios., , , and . IEEE Commun. Lett., 24 (6): 1304-1307 (2020)Improving Cell Outage Management Through Data Analysis., , , and . IEEE Wirel. Commun., 24 (4): 113-119 (2017)Dynamic Packet Duplication for Industrial URLLC., , and . Sensors, 22 (2): 587 (2022)