Unlocking the Power of Large Language Models in Wireless Networks: From Prompt Engineering to Intelligent Optimization

Abstract: Large Language Models (LLMs) are emerging as a key enabler for reshaping wireless networks through their powerful reasoning and generalization capabilities. This talk begins with an overview of LLM fundamentals, followed by a discussion of their emerging applications in wireless systems, highlighting both the opportunities they create and the practical challenges they pose. Prompt engineering is introduced as a lightweight and effective alternative to fine-tuning, enabling accurate, context-aware, and resource-efficient decision-making. Two representative use cases will be presented. First, network resource allocation will be addressed through a unified multi-agent framework in which iterative prompting and structured feedback are used to solve constrained non-convex optimization problems, achieving scalable, feasible, and near-optimal performance. Second, intelligent decision-making for autonomous vehicular systems will be discussed through joint optimization of vehicle-to-infrastructure (V2I) communications and autonomous driving policies. Across these applications, LLM-driven frameworks demonstrate reduced time complexity and enhanced adaptability compared to conventional approaches. The talk concludes by outlining how such LLM-driven optimization frameworks can evolve into unified, foundation-model-based engines for end-to-end wireless network <a href="http://intelligence.

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Biography: HINA TABASSUM (Senior Member, IEEE) received the Ph.D. degree from the King Abdullah University of Science and Technology. She is currently an Associate Professor with the Lassonde School of Engineering, York University, Canada, where she joined as an Assistant Professor in 2018. She is also appointed as a Visiting Faculty with the University of Toronto in 2024, and the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023, for five years. She is listed in the Stanford’s list of the World’s Top Two-Percent Researchers from 2021 to 2025. She has been selected as the IEEE ComSoc Distinguished Lecturer for the term 2025–2026. She has co-authored over 120 refereed articles in well-reputed IEEE journals, magazines, and conferences. Her current research interests include multiband 6G wireless communications and sensing networks, connected and autonomous systems, and AI-enabled network mobility and resource management solutions. She has earned numerous distinctions, including the N2Women Star in Networking and Communications (2025), Early Career Lassonde Innovation Award (2023), N2Women Rising Star in Networking and Communications (2022), multiple Exemplary Editor awards from IEEE journals, and appointment to the NSERC Discovery Grant Evaluation Group (2025–2028). She served as an Associate Editor for IEEE COMMUNICATIONS LETTERS from 2019 to 2023, IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY from 2019 to 2023, and IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING from 2020 to 2023. She is also currently serving as an Area Editor for IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY and an Associate Editor for IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE TRANSACTIONS ON MOBILE COMPUTING, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and IEEE COMMUNICATIONS SURVEYS AND <a href="http://TUTORIALS.

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Speaker(s): HINA TABASSUM,

Room: EITC E1 270, Winnipeg, Manitoba, Canada