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Optimising 5G infrastructure markets: The business of network slicing., , , , , и . INFOCOM, стр. 1-9. IEEE, (2017)Digital Twins for Next-Generation Mobile Networks: Applications and Solutions., , , , и . IEEE Commun. Mag., 61 (11): 80-86 (ноября 2023)$\alpha$-OMC: Cost-Aware Deep Learning for Mobile Network Resource Orchestration., , , , и . INFOCOM Workshops, стр. 423-428. IEEE, (2019)Mobile traffic forecasting for maximizing 5G network slicing resource utilization., , , , , и . INFOCOM, стр. 1-9. IEEE, (2017)AI-Based Autonomous Control, Management, and Orchestration in 5G: From Standards to Algorithms., , , , , и . IEEE Netw., 34 (6): 14-20 (2020)CARES: Computation-Aware Scheduling in Virtualized Radio Access Networks., , , , и . IEEE Trans. Wirel. Commun., 17 (12): 7993-8006 (2018)DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning., , , , и . INFOCOM, стр. 280-288. IEEE, (2019)The path toward a cloud-aware mobile network protocol stack., , , , , и . Trans. Emerg. Telecommun. Technol., (2018)DeepCog: Optimizing Resource Provisioning in Network Slicing With AI-Based Capacity Forecasting., , , , и . IEEE J. Sel. Areas Commun., 38 (2): 361-376 (2020)AZTEC: Anticipatory Capacity Allocation for Zero-Touch Network Slicing., , , , и . INFOCOM, стр. 794-803. IEEE, (2020)