Neural-Network-Assisted UE Localization Using Radio-Channel Fingerprints in LTE Networks

Neural-Network-Assisted UE Localization Using Radio-Channel Fingerprints in LTE Networks

In this paper, a novel fingerprint-based localization technique is proposed, which is applicable for positioning user equipments (UEs) in cellular communication networks such as the long-term-evolution (LTE) system. This technique utilizes a unique mapping between the characteristics of a radio chan...

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Bibliographic Details
Main Authors: Xiaokang Ye, Xuefeng Yin, Xuesong Cai, Antonio Perez Yuste, Hongliang Xu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Long-term-evolution
fingerprint
radio propagation
channel impulse response
multipath component
feature extraction
Online Access:https://ieeexplore.ieee.org/document/7938617/

Internet

https://ieeexplore.ieee.org/document/7938617/

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