Propagation delay time estimation by neural network using urban environment parameters

被引:1
|
作者
Tategami, Koyo [1 ]
Fujimoto, Mitoshi [1 ]
Kitao, Koshiro [2 ]
Inomata, Minoru [2 ]
Suyama, Satoshi [2 ]
Oda, Yasuhiro [2 ]
机构
[1] Univ Fukui, Grad Sch Engn, 3-9-1 Bunkyo, Fukui 9108507, Japan
[2] NTT DOCOMO INC, 3-6 Hikarino Oka, Yokosuka, Kanagawa 2398536, Japan
来源
IEICE COMMUNICATIONS EXPRESS | 2020年 / 9卷 / 12期
关键词
5G mobile communication system; urban street cell; neural network; propagation delay time estimation; MODEL;
D O I
10.1587/comex.2020COL0008
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:573 / 579
页数:7
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