IEEE Network · 2018 · 85 citations · 24 references
ComputingAutonomous SystemsComputer ScienceAutonomous VehiclesMachine LearningMobile ComputingFog ComputingIntelligent Transportation SystemsMobile CommunicationMobile NetworkingMobile NetworksVehicle-to-everything CommunicationError ControlFog Computing ArchitectureFog IntegrationFog Mobility ManagementFog NetworkingLow-latency NetworkingVehicular Edge Computing
Mobile networking to achieve the ultra-low latency goal of 1 msec enables massive operation of autonomous vehicles and other intelligent mobile machines, and emerges as one of the most critical technologies beyond 5G mobile communications and state-of-the-art vehicular networks. Introducing fog computing and proactive network association, realizing virtual cell by integrating open-loop radio transmission and error control, and innovating anticipatory mobility management through machine learning, opens a new avenue toward ultra-low latency mobile networking.
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The capacity of wireless networks
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Fog and IoT: An Overview of Research Opportunities
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Machine Learning Paradigms for Next-Generation Wireless Networks
Chunxiao Jiang, Haijun Zhang, Yong Ren et al. · IEEE Wireless Communications · 2016 · 1.1K citations