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Toward Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks., , , , , , , , , и . IEEE Commun. Stand. Mag., 6 (4): 56-64 (декабря 2022)Multi-Agent Reinforcement Learning in Dynamic Industrial Context., , , , , и . COMPSAC, стр. 448-457. IEEE, (2023)Performance Analysis of 5G Cellular Networks Serving Terrestrial and Aerial Users in the Presence of Interference Coupling., , , и . CSCN, стр. 118-123. IEEE, (2023)Towards Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks., , , , , , , , , и . CoRR, (2021)Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning., , , , , , и . CoRR, (2021)Deployable Networks for Public Safety in 5G and Beyond: A Coverage and Interference Study., , , и . 5GWF, стр. 346-351. IEEE, (2021)5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul., , , , , , и . CoRR, (2022)Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning., , , , , , и . FNWF, стр. 184-189. IEEE, (2022)Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry., , , , , , и . SEAA, стр. 68-75. IEEE, (2022)5G New Radio for Automotive, Rail, and Air Transport., , , , , , , и . CoRR, (2021)