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Channel stability prediction to optimize signaling overhead in 5G networks using machine learning.

, , , and . ICC, page 1-6. IEEE, (2020)

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A survey on mobility management protocols in Wireless Sensor Networks based on 6LoWPAN technology., and . Comput. Commun., (2016)Data-Driven RAN Slicing Mechanisms for 5G and Beyond., , , and . IEEE Trans. Netw. Serv. Manag., 18 (4): 4654-4668 (2021)EKF-MRPL: Advanced mobility support routing protocol for internet of mobile things: Movement prediction approach., , and . Future Gener. Comput. Syst., (2019)Hardware-in-the-Loop and Software-in-the-Loop Platform for Testing and Validation of Adaptable Radio Communications Systems for Railways at IP Layer., , , , , , , , , and 3 other author(s). Nets4Cars/Nets4Trains/Nets4Aircraft, volume 11461 of Lecture Notes in Computer Science, page 111-118. Springer, (2019)Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems., , and . IEEE Access, (2020)Zero On-Site Testing Strategies for Wireless TCMS., , , , and . IEEE Commun. Mag., 57 (9): 64-69 (2019)Evaluating TCMS Train-to-Ground Communication Performances Based on the LTE Technology and Discreet Event Simulations., , , , and . Nets4Cars/Nets4Trains/Nets4Aircraft, volume 10796 of Lecture Notes in Computer Science, page 110-121. Springer, (2018)EC-MRPL: An energy-efficient and mobility support routing protocol for Internet of Mobile Things., , and . CCNC, page 19-24. IEEE, (2017)Channel stability prediction to optimize signaling overhead in 5G networks using machine learning., , , and . ICC, page 1-6. IEEE, (2020)Supporting Unmanned Aerial Vehicle Services in 5G Networks: New High-Level Architecture Integrating 5G With U-Space., , , , , , , , , and 1 other author(s). IEEE Veh. Technol. Mag., 16 (1): 57-65 (2021)