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Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. (arXiv:2212.10343v3 [cs.LG] UPDATED)
cs.LG updates on arXiv.org arxiv.org
The evolution of wireless communications into 6G and beyond is expected to
rely on new machine learning (ML)-based capabilities. These can enable
proactive decisions and actions from wireless-network components to sustain
quality-of-service (QoS) and user experience. Moreover, new use cases in the
area of vehicular and industrial communications will emerge. Specifically in
the area of vehicle communication, vehicle-to-everything (V2X) schemes will
benefit strongly from such advances. With this in mind, we have conducted a
detailed measurement campaign that paves the …
arxiv benefit berlin beyond campaign cases communication communications components dataset decisions evolution experience industrial machine machine learning measurement multiple network quality radio service technologies use cases wireless