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DTSTART:20240101T000000
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DTSTART;TZID=UTC:20251219T153000
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SUMMARY:Digital Twin in Edge Intelligence-empowered Integrated Sensing and Communication
DESCRIPTION:In this seminar\, we explore the potential role of digital twins (DTs) in Edge Intelligence (EI)-empowered Integrated Sensing and Communication (ISAC) with two case studies. First\, we show that DTs can be used to model the stochastic spatial distributions of sensing targets\, which is essential for characterizing service demands and optimizing proactive resource management in ISAC. Our DT design adaptively synergizes multiple candidate spatial models for location-based resource reservation. Second\, we show that DTs can enable a user-centric approach to deep neural networks (DNN)-based sensing data processing. Given an ISAC device with a small DNN model and a mobile edge computing (MEC) server with a large DNN model\, our DT design supports continual learning in the presence of data drifts. Leveraging the above role of DT\, we can achieve objectives such as minimizing resource reservation or computation costs subject to performance constraints.  Room: 460\, Bldg: ENG\, 245 church St.\, Toronto\, Ontario\, Canada\, M5B 2R2
URL:https://www.ieeetoronto.ca/event/digital-twin-in-edge-intelligence-empowered-integrated-sensing-and-communication/
LOCATION:Room: 460\, Bldg: ENG\, 245 church St.\, Toronto\, Ontario\, Canada\, M5B 2R2
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