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The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction., , , , , , , , , and 4 other author(s). CoRR, (2023)Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction., , , , and . VTC2023-Spring, page 1-7. IEEE, (2023)Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction., , , , , , , , , and 8 other author(s). PIMRC, page 1432-1438. IEEE, (2021)A Controller for Network-Assisted CACC based Platooning., , and . CoRR, (2019)Mobility prediction Based on Machine Learning Algorithms., , , , and . CoRR, (2021)Methodologies of Link-Level Simulator and System-Level Simulator for C-V2X Communication., , , , and . CoRR, (2019)Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches., , , , , , , , , and 4 other author(s). IEEE Access, (2023)Effect of Retransmissions on the Performance of C-V2X Communication for 5G., , , , and . VTC Fall, page 1-7. IEEE, (2020)Berlin V2X., , , , , , , , , and 7 other author(s). (February 2023)The Effect of Variable Factors on the Handover Performance for Ultra Dense Network., , , , and . CoRR, (2023)