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- W4385800586 abstract "Optimizing the resource utilization is essential for efficiently providing reliable location awareness in complex wireless environments. This paper presents a data-driven approach to node prioritization for efficient localization based on neural networks. We develop a node prioritization strategy for power allocation consisting of offline training and online operation. In the offline phase, we train a neural network to approximate a mapping of node prioritization decisions obtained via model-based optimization. In the online phase, the trained neural network is employed to determine the resource allocation. A case study validates the proposed approach and compares it against conventional methods based on uniform power allocation." @default.
- W4385800586 created "2023-08-15" @default.
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- W4385800586 date "2023-06-01" @default.
- W4385800586 modified "2023-10-16" @default.
- W4385800586 title "Neural Network Based Node Prioritization for Efficient Localization" @default.
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- W4385800586 doi "https://doi.org/10.1109/vtc2023-spring57618.2023.10200984" @default.
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