Learning IoV in 6G: Intelligent Edge Computing for Internet of Vehicles in 6G Wireless Communications
He Li, Kaoru Ota, Mianxiong Dong
Abstract
In sixth-generation (6G) wireless communications, deep learning will still be essential for the Internet of Vehicles (loV). 6G will bring new opportunities and challenges to current deep learning systems applied in the loV environment. This article introduces a new framework: Learning loV in 6G, focusing on the deep learning applications for loV in 6G. We also apply the proposed framework in a flying base station (FBS) to evaluate the performance for future loV in 6G.
Topics & Concepts
Computer scienceThe InternetWirelessDeep learningTelecommunicationsWireless networkComputer networkArtificial intelligenceWorld Wide WebAdvanced Wireless Communication TechnologiesUAV Applications and OptimizationIoT and Edge/Fog Computing