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arXiv Machine Learning By Zhanyu Ju, Wenchi Cheng

ML-Based Hierarchical Prediction for Practical Energy Scheduling in Dynamic NTN-WPT Systems

Read the original on arXiv Machine Learning →

arXiv:2608. 08804v1 Announce Type: cross Abstract: With advancements in long-distance wireless power transfer (WPT) and space-based energy technologies, integrating WPT into non-terrestrial networks (NTNs), referred to as NTN-WPT, is emerging as a promising approach for next-generation wireless networks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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