NLOS Identification in WLANs Using Deep LSTM with CNN Features

NLOS Identification in WLANs Using Deep LSTM with CNN Features

Identifying channel states as line-of-sight or non-line-of-sight helps to optimize location-based services in wireless communications. The received signal strength identification and channel state information are used to estimate channel conditions for orthogonal frequency division multiplexing syst...

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Bibliographic Details
Main Authors:	Viet-Hung Nguyen, Minh-Tuan Nguyen, Jeongsik Choi, Yong-Hwa Kim
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Sensors
Subjects:	line-of-sight identification channel state information deep learning convolutional neural network long-short term memory model
Online Access:	https://www.mdpi.com/1424-8220/18/11/4057

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