Empirical Frequency-Dependent Wall Insertion Loss Model at 3–6 GHz for Future Internet-of-Things Applications

Empirical Frequency-Dependent Wall Insertion Loss Model at 3–6 GHz for Future Internet-of-Things Applications

A novel frequency-dependent wall insertion loss model at 3–6 GHz is proposed in this paper. The frequency-dependence of the wall insertion loss is modeled by the Fourier triangular basis neural network. A method to determine the optimal weighted vector and the number of the neurons is int...

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Bibliographic Details
Main Authors: Yang Liu, Guangjie Han, Jingpeng Liang, Rong Dai, Zheng-Quan Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wall insertion loss
neural network
3–6 GHz
internet of things (IoT)
Online Access:https://ieeexplore.ieee.org/document/8567900/

Internet

https://ieeexplore.ieee.org/document/8567900/

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