Machine Learning-Based Fingerprint Positioning for Massive MIMO Systems

Machine Learning-Based Fingerprint Positioning for Massive MIMO Systems

In this paper, we investigate a user terminal (UT) fingerprint positioning problem in massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing systems under non-line-of-sight scenario. Exploiting the advantages of a large-scale array and wide bandwidth, we introduce a...

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Bibliographic Details
Main Authors: Xinrui Gong, Xianglong Yu, Xiaofeng Liu, Xiqi Gao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Massive MIMO
fingerprint positioning
machine learning
beam-based channel model
Online Access:https://ieeexplore.ieee.org/document/9861641/

Internet

https://ieeexplore.ieee.org/document/9861641/

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