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[Keynote speech]AI/ML for 6G Wireless Communication
AI/ML for 6G Wireless Communication
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Updated Time：2025-12-25 10:46:58
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Keynote speech
Start Time：2025-12-30 08:00 （Asia/Amman）
Duration：45min
Session：[P] Plenary Session » [P2] Keynotes
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Abstract
In this talk, we will explore the potential implementation of several physical layer blocks using AI/ML algorithms, including IF estimation, symbol rate estimation, channel estimation, modulation classification, early ACK/NACK activation, and AI/ML-based LDPC decoding. We will conclude with a discussion of possible future directions for AI/ML in wireless communications
Keywords
Speaker
SUDHAN MAJHI
Associate Professor Indian Institute of Science, BangaloreSUDHAN MAJHI received an M.Tech degree from the Indian Institute of Technology (IIT) in Kharagpur, India and a Ph.D. degree from Nanyang Technological University (NTU), Singapore. He has post-doctoral experience with the University of Michigan, Dearborn, USA, the Institute of Electronics and Telecommunications Rennes (IETR), France, and Nanyang Technological University, Singapore.
Currently, he is an associate professor in Electrical Communication Engineering (ECE) at the Indian Institute of Science, Bangalore. Before moving to IISc, he was Associate professor at IIT Patna. He is a fellow of Sir Visvesvaraya Young Faculty Research, a Fellow of IEI, and a Fellow of IETE. He has received the best academic award from National Instrument, Singapore. He has received SERB-TETRA and SERB-STAR awards in 2022 and 2023, respectively. He was an Editor of the IEEE Transactions on Vehicular Technology Journal, senior editor of IEEE Communications Letters. Currently, he is editor of the IEEE Wireless Communication Letters and the IEEE Transactions on Communications. In 2024, he received Best Editor from IEEE Wireless Communication Letters. His research interest is signal processing for 6G wireless communications. He teaches a popular online course on AI/ML for wireless communication.
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