Next-Gen WiFi Throughput Prediction | Machine Learning 5G challenge
0Multi-Access Point Coordination (MAPC) is one of the new features to be included in next-generation Wi-Fi networks. It represents a radical change in the way traditional Wi-Fi networks work. Following the MAPC framework, access points (APs) can agree on how to share spectrum resources, improving network efficiency by reducing interference on the WLAN network. \n\nCoordinated Spatial Reuse (c-SR) takes advantage of MAPC by allowing multiple APs to transmit simultaneously. In c-SR, APs exchange the Received Signal Strength Indicator (RSSI) from their neighbouring stations to a controller to build groups of APs that can perform simultaneous transmissions. Creating these compatible AP groups means finding subsets of those APs that do not cause unacceptable interference to the others when transmitting at the same time. \n\nIn this webinar, winners of the problem statement through the Zindi Platform will present their winning solutions on the use machine learning to predict the throughput (performance) that a subset of APs can achieve in a c-SR network. \n\nSpeakers:\nDavid Nuñez Cuadrad\nUniversitat Pompeu Fabra\n\nBoris Balleta\nUniversitat Pompeu Fabra (UPF)\n\nGourav Saha\nMahindra University\nModerators:\n\nVishnu Ram OV\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.