Evaluation and Comparison of 5G, WiFi, and Fusion With Incomplete Maps for Indoor Localization

Evaluation and Comparison of 5G, WiFi, and Fusion With Incomplete Maps for Indoor Localization

Precise positioning will play a key role in future 5G/6G services. The upcoming location-based services drive the necessity of high-precision positioning to indoors. In fingerprinting, which is the most commonly used location algorithm indoors, comprehensive radio maps are essential for a precise lo...

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Bibliographic Details
Main Authors: Carlos Simon Alvarez-Merino, Emil J. Khatib, Hao Qiang Luo-Chen, Antonio Tarrias Munoz, Raquel Barco Moreno
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fingerprinting
adaboost
random forest
5G
WiFi
fusion
Online Access:https://ieeexplore.ieee.org/document/10489966/

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