Multi-environment automotive QoS prediction using AI/ML
The evolution of wireless communications is expected to rely on machine learning (ML)-based capabilities to provide proactive management of network resources and sustain quality-of-service (QoS) and user experience. New use cases in the area of vehicular communications, including so-called vehicle-to-everything (V2X) schemes, will benefit strongly from such advances. The Berlin V2X dataset offers high-resolution wireless measurements across diverse urban environments in the city of Berlin acquired with several vehicles and mobile network operators. The captured data includes information on the vehicle location, the LTE physical layer, resource management, and quality of service. We suggest leveraging the Berlin V2X dataset to implement QoS prediction. Furthermore, we encourage the use of transfer learning and/or domain adaptation to generalize the trained algorithms across operators, vehicles, or urban areas. \n\nSpeakers:\n\nRodrigo Hernangómez\nFraunhofer Heinrich Hertz Institute (HHI)\n\nModerators:\nVishnu Ram OV\n\nThomas Basikolo\nInternational Telecommunication Union (ITU)\n\nJoin us for two days of never before presented, state of the art AI solutions and cutting edge knowledge, aligned with the UN Sustainable Development Goals.\nRegister and learn more here: https://aiforgood.itu.int/summit23/\n\nJoin the Neural Network!\nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.