Future 50 Years of Mobile Radio Propagation Research

被引：0
|
作者：
Kitao, Koshiro [1 ]
机构：
[1] NTT DOCOMO INC, Lab 5G, 3-6 Hikarinooka, Yokosuka, Kanagawa 2398536, Japan
来源：
2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2016年
关键词：
Mobile radio propagation; Radio propagation simulation; Radio propagation model; Deep learning;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper overviews the latest developments in mobile radio propagation research and presents our views looking to the future. Radio propagation research has high affinity to machine learning such as deep learning since it can deal with copious amounts of measurement data. Deep learning is useful for image recognition and can be applied to modeling of building materials. This modeling achieved through the analysis of building images is needed for radio propagation simulations. Therefore, we believe that the application of deep learning to mobile radio propagation research will emerge as a main topic in the future.
引用
收藏
页码：560 / 561
页数：2
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