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Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios.

, , , , , и . VTC Fall, стр. 1-7. IEEE, (2021)

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Dana de La Fontaine

Christian de La Motte

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Optimization of a Fuzzy Logic Controller for Handover-Based Load Balancing., , , , и . VTC Spring, стр. 1-5. IEEE, (2011)Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios., , , , , и . VTC Fall, стр. 1-7. IEEE, (2021)Methodology for the Design and Evaluation of Self-Healing LTE Networks., , , , , и . IEEE Trans. Veh. Technol., 65 (8): 6468-6486 (2016)Load balancing and handover joint optimization in LTE networks using Fuzzy Logic and Reinforcement Learning., , и . Comput. Networks, (2015)Anomaly detection and analysis framework for mobile networks., , , , , и . EuCNC/6G Summit, стр. 359-364. IEEE, (2021)Dynamic Multipath Connection for Low-Latency Vehicle- to-Everything (V2X) Communications., , , , , и . BMSB, стр. 1-5. IEEE, (2018)Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios., , , , , , , , и . J. Electr. Comput. Eng., (2012)Improving Cell Outage Management Through Data Analysis., , , и . IEEE Wirel. Commun., 24 (4): 113-119 (2017)On the Capability of QoE Improvement Based on the Adjustment of RLC Parameters., , , , и . Sensors, 20 (9): 2474 (2020)5G Component Carrier Management Evaluation by Means of System Level Simulations., , , , , , и . EuCNC, стр. 592-596. IEEE, (2019)