JUNO: Jump-Start Reinforcement Learning-based Node Selection for UWB Indoor Localization-Reference-Cited by-同舟云学术

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JUNO: Jump-Start Reinforcement Learning-based Node Selection for UWB Indoor Localization

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Hajiakhondi-Meybodi Zohreh¹,Hou Ming²,Mohammadi Arash³

Affiliation:

1. Concordia University,Electrical & Computer Engineering,Montreal,Canada

2. Defence Research and Development Canada (DRDC),Toronto,Canada

3. Concordia Institute for Inf. Systems Eng., Concordia University,Montreal,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001559.pdf?arnumber=10001559

Reference31 articles.

1. Sparsity-inspired power allocation for network localization

2. Analysis of Kurtosis-Based LOS/NLOS Identification Using Indoor MIMO Channel Measurement

3. Anchor selection for UWB indoor positioning

4. Optimized deployment of anchors based on GDOP minimization for ultra-wideband positioning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning;IEEE Access;2024

2. Content Placement in a Cluster-Centric Mobile Edge Caching Network;2022 IEEE International Conference on Networking, Sensing and Control (ICNSC);2022-12-15

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