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This lecture explores how artificial intelligence can revolutionize next-generation wireless networks to meet emerging challenges. Learn from Dr. Prasenjit Chanak, Assistant Professor at IIT (BHU) Varanasi, as he provides a comprehensive review of AI techniques applied across the entire wireless network protocol stack. Discover how data-driven approaches can enable ultra-high data rates, massive data processing, smart designs, and cost-effective deployment while ensuring reliability and security in dynamic environments like IoT, 5G, and NextG cellular systems. The presentation examines motivations, challenges, and methodologies for leveraging AI to enhance wireless networking from physical to application layers, while identifying opportunities for developing innovative AI-driven algorithms, mechanisms, protocols, and system designs that will shape future wireless networks. Dr. Chanak, who leads the IoT and Embedded Systems Lab at IIT (BHU), brings extensive expertise in ubiquitous sensing systems, having executed projects for organizations like DST, DRDO, and SERB, and received numerous awards including the Chester Sall Award from IEEE Transactions on Consumer Electronics.
