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Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework., , , и . IEEE Trans. Commun., 68 (4): 2491-2508 (2020)Toward Low-Latency and Ultra-Reliable Virtual Reality., , , и . IEEE Netw., 32 (2): 78-84 (2018)DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments., , , , и . Appl. Soft Comput., (2018)An Analysis of Coalition-Competition Pricing Strategies for Multi-operator Mobile Traffic Offloading Using Bi-objective Heuristics., , , и . ICHSA, том 514 из Advances in Intelligent Systems and Computing, стр. 157-167. Springer, (2017)Towards Low-Latency and Ultra-Reliable Virtual Reality., , , и . CoRR, (2018)Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics., , , , и . Neurocomputing, (2018)Millimeter-Wave V2V Communications: Distributed Association and Beam Alignment., , и . IEEE J. Sel. Areas Commun., 35 (9): 2148-2162 (2017)Cooperative perception in Vehicular Networks using Multi-Agent Reinforcement Learning., , , и . ACSSC, стр. 408-412. IEEE, (2020)Internet Quality of Service Measurement Tool for Both Users and Providers., , , , и . ICT, том 3124 из Lecture Notes in Computer Science, стр. 1195-1203. Springer, (2004)Network Traffic Sensor for Multiprocessor Architectures: Design Improvement Proposals., , , и . SAPIR, том 3126 из Lecture Notes in Computer Science, стр. 146-157. Springer, (2004)