Digital-twin-enabled 6G: Depth Map Estimation in 6G mmWave systems
0In future 6G networks, digital twins will 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 2023 ITU AI/ML in 5G Challenge. This is the second edition of the challenge; after the success of the first edition, we challenge participants to apply ML techniques to outperform the baseline solution provided. 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 how Samsung is developing ML models to tackle the challenges of future wireless systems.\n\nSpeakers:\n\nSteve Blandino\nNational Institute of Standards and Technology (NIST)\n\nYeswanth Guddeti\nSamsung\n\nModerators:\n\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.