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Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3141792
Abstract: Federated learning (FL) emerges as a distributed training method in the Internet of Things (IoT), allowing participating clients to use their local data to train local models and upload parameters for global model aggregation after…
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Keywords:
channel learning;
wireless;
federated learning;
scheduling wireless ... See more keywords
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Published in 2022 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2022.3164602
Abstract: The working scope and working time of small size unmanned aerial vehicles (UAVs) are limited because of the limited battery capacity. In this work, inspired by aerial refueling for aircrafts, we propose a wireless power…
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Keywords:
scheduling wireless;
wireless energy;
charging uav;
mission ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3230012
Abstract: Future vehicle-to-grid (V2G) systems require more flexible scheduling to adjust and flatten the peak energy demand. For efficient scheduling and energy trading, the utility provider (UP) needs to keep track of the state of charge…
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Keywords:
reinforcement learning;
scheduling;
electric vehicles;
scheduling wireless ... See more keywords
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Published in 2018 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2018.2826554
Abstract: One of the most critical emerging problems for 5G and Internet of Things is the handling of machine-to-machine communication. Wireless sensor networks are deployed every day, resulting in a more distributed infrastructure, where the communication…
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Keywords:
aggregation;
scheduling wireless;
aggregation scheduling;
packet aggregation ... See more keywords