Depth map estimation in 6G mmWave systems | AI/ML IN 5G CHALLENGE
0In future 6G networks, digital twins could virtually implement the physical wireless propagation environment, enabling learning, optimization, and dynamical re-calibration of 6G operational parameters to improve network performance. To fulfil this vision, extracting new information, such as depth maps of an environment, from existing sensors is of greatest importance to enable and create scalable and efficient digital twin networks. Using existing mmWave systems already integrated to nowadays devices incurs no additional cost compared to adding new sensors with extra-capabilities. Jointly using communication signals to perform depth map estimation, enables easier network management, keeping network bandwidth usage, reliability, and latency under control, since no extra data and overhead is generated by using secondary sensors. Equally importantly, exploiting signals already designed with the purpose of wireless communication will avoid energy consumption escalation. \n\nThis talk introduces the problem statement “Depth Map Estimation in 6G mmWave systems” for the 2022 ITU AI/ML in 5G Challenge. Learn how the NIST Communications Technology Laboratory is leveraging innovative measurement methods and equipment to shed light on millimeter wave propagation in real world environments and join us to develop ML models for future wireless communication systems. In the challenge participants are invited to apply ML techniques, using the NIST Communications Technology Laboratory RF measurements to build a depth map of an environment. \n\nSpeakers:\nJelena Senic, Research Associate, National Institute of Standards and Technology (NIST)\nSteve Blandino, Guest Researcher, National Institute of Standards and Technology (NIST)\nRaied Caromi, Electronics Engineer, R&D, National Institute of Standards and Technology, CTL, Wireless and Network Division\n\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\nExplore more #AIforGood content:\n AI for Good Top Hits\n • Top Hits \n\n AI for Good Webinars\n • AI for Good Webinars \n\n AI for Good Keynotes\n • AI for Good Keynotes \n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\n Discover what's next on our programme!\nhttps://aiforgood.itu.int/programme/\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/ITU_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?\nThe AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.\n\n#ML5G #FutureNetworks