Augmenting mmWave localization accuracy through sub-6 GHz on off-the-shelf devices
Author:
Affiliation:
1. Universidad Carlos III de Madrid, Madrid, Spain
2. IMDEA Networks, Madrid, Spain
3. University of Brescia/CNIT, Brescia, Italy
4. IMDEA Networks Institute, Madrid, Spain
Funder
European Union
Spanish Ministry of Science and Innovation (MICIU)
Region of Madrid through TAPIR-CM
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3498361.3538920
Reference54 articles.
1. alejandroBlancoPizarro. Multiloc. https://github.com/IMDEANetworksWNG/MultiLoc , 2022 . alejandroBlancoPizarro. Multiloc. https://github.com/IMDEANetworksWNG/MultiLoc, 2022.
2. Estimating millimeter wave channels using out-of-band measurements
3. Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels
4. RADAR: an in-building RF-based user location and tracking system
5. Indoor Localization Using Commercial Off-The-Shelf 60 GHz Access Points
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