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AI-Aided Design for Next Generation of Wireless Communication Systems

November 30 @ 6:00 PM - 7:30 PM MST

AI-Aided Design for Next Generation of Wireless Communication Systems Recent advancements in artificial intelligence (AI) motivates wireless communication engineers to deploy machine and deep learning (DL) tools in different layers of communication protocol stacks. Among others, there has been a surge of interest in the applications of AI in the physical (PHY) layer of wireless communication systems. The basic idea behind the application of AI in PHY layer design is to improve the end-to-end performance, e.g., increasing data throughput, improving energy efficiency, reducing error rate, etc. and to alleviate the real-time computational complexity over conventional design approaches. In general, the conventional design of transmitter and receiver is block based, where each block can perform its task optimally and often efficiently. Speaker(s): Dr. Imtiaz Ahmed, Agenda: 6pm – Introductions and COMSOC Chapter News 6:15 – Volunteer Discussion 6:30 – Feature Talk 7:15pm Q&A Virtual: https://events.vtools.ieee.org/m/288816

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