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End-to-End Simulation of 5G mmWave Networks., , , , , , and . IEEE Commun. Surv. Tutorials, 20 (3): 2237-2263 (2018)Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism., , , , , and . J. Netw. Comput. Appl., (2021)5G mmWave Module for ns-3 Network Simulator., , , , and . CoRR, (2015)Achieving Ultra-Low Latency in 5G Millimeter Wave Cellular Networks., , , , , and . IEEE Commun. Mag., 55 (3): 196-203 (2017)5G MmWave Module for the ns-3 Network Simulator., , , , and . MSWiM, page 283-290. ACM, (2015)A Framework for Cross-Layer Evaluation of 5G mmWave Cellular Networks in ns-3., , , , , and . CoRR, (2016)milliProxy: A TCP proxy architecture for 5G mmWave cellular systems., , , , , , and . ACSSC, page 951-957. IEEE, (2017)Toward ensuring better learning performance in reinforcement learning., and . CANDARW, page 134-139. IEEE, (2022)End-to-End Simulation of 5G mmWave Networks., , , , , , and . CoRR, (2017)Bayesian framework for solving transform invariant low-rank textures., , , and . ICIP, page 3588-3592. IEEE, (2016)