Seminar: An LLM-Based Optimization for Integrated Sensing and Communications in UAV Networks
Title: An LLM-Based Optimization for Integrated Sensing and Communications in UAV Networks
Abstract: Beyond the fifth-generation (B5G) mobile networks have envisioned future mobile networks to offer not only seamless communication services but also advanced sensing capabilities. This has driven interest in joint communication and sensing (C&S) within integrated sensing and communication (ISAC) systems. Thanks to the high-quality line-of-sight (LoS) air-to-ground (A2G) communication links and flexible mobility of unmanned aerial vehicles (UAV), UAVs are seen as a key enabler for extending coverage and enhancing C&S performance in ISAC systems. This work focuses on a UAV network with ISAC, where multiple UAVs simultaneously sense ground user locations with radars and provide communication services. To find the trade-off between C&S, we formulate a multi-objective optimization problem (MOP) aimed at maximizing both network utility and the localization accuracy (Cramér-Rao bounds, CRB) of ground users through optimizing UAV deployment and power control. To solve this highly non-convex problem, inspired by the huge potential of large language models (LLM) for prediction and inference, we introduce an LLM-enabled decomposition-based multi-objective evolutionary algorithm (LEDMA). This approach breaks the MOP into smaller sub-problems and incorporates LLMs as search operators using designed prompt engineering within a multi-objective evolutionary algorithm (MOEA) framework. Numerical results demonstrate that LEDMA effectively identifies the trade-off between C&S and outperforms baseline MOEAs in terms of solution quality and convergence.
Biography: Ming Xiao received received Ph.D degree from Chalmers University of technology, Sweden in November 2007. From November 2007 to now, he has been in the department of information science and engineering, school of electrical engineering and computer science, Royal Institute of Technology, Sweden, where he is currently a full Professor. He was an Editor for IEEE Transactions on Communications (2012-2017), IEEE Communications Letters (Senior Editor Since January 2015) and IEEE Wireless Communications Letters (2012-2016), and has been an Editor for IEEE Transactions on Wireless Communications since 2018. He has been an area editor for IEEE Open Journal of the Communication Society since 2019. He received IEEE Vehicular Technology Society Best Magazine Paper Award 2023.
Date and Time
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- Date: 06 Jan 2025
- Time: 10:00 AM to 11:00 AM
- All times are (UTC+08:00) Singapore
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- EEE Executive Seminar Rm (S2.2-B2-53)
- Singapore, Singapore
- Singapore 639798
- Building: NTU
- Room Number: S2.2-B2-53