IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136
Special Cluster in Conjunction with IEICE General Conference 2020
Propagation delay time estimation by neural network using urban environment parameters
Koyo TategamiMitoshi FujimotoKoshiro KitaoMinoru InomataSatoshi SuyamaYasuhiro Oda
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2020 Volume 9 Issue 12 Pages 573-579

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Abstract

In the 5th generation mobile communication system, introduction of small cells using low-height base station is being examined. Small cells are installed in urban street cell environments where mobiles are densely populated. Therefore, actual measurement and complicated modeling of radio wave propagation are necessary to grasp the propagation characteristics. In this paper, a simple propagation delay estimation method is proposed. In the proposed method, neural network using urban area structure parameters is applied. It is shown that the propagation delay time can be easily estimated by the proposed method without considering moving objects and trees.

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© 2020 The Institute of Electronics, Information and Communication Engineers
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