Estimation of Probability Density Function Using Multi-bandwidth Kernel Density Estimation for Throughput

Norisato Suga, Kazuto Yano, Julian Webber, Yafei Hou, Toshihide Higashimori, Yoshinori Suzuki

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In manufacturing and logistics, various applications exploiting IoT devices are started to be used. Although there is a demand for wireless connection between the IoT devices to networks, obstacles such as radio frequency interference, multipath-rich propagation, and movement of objects make communication unstable. The instability can cause a system failure of IoT applications. Estimation of probability density function (PDF) of throughput is an important technique for the communication failure prediction and control of data rate of wireless communication applications. Because wireless environment in factories change complicatedly, the PDF of throughput is a mixture of narrow and wide distributions. For such PDF, the conventional kernel density estimation which uses uni-bandwidth kernel can not accurately estimate the distribution. To overcome this problem, we propose a novel kernel density estimation method which uses multiple bandwidths kernels. In addition, we extend a likelihood cross validation method to the multi-bandwidth kernel density estimation to determined the suboptimum bandwidths of kernels and combining weights. To confirm the effectiveness of the proposed method, we conduct numerical simulation assuming image transmission for car body inspection at an automobile factory.

本文言語English
ホスト出版物のタイトル2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ171-176
ページ数6
ISBN(電子版)9781728149851
DOI
出版ステータスPublished - 2020 2月
外部発表はい
イベント2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
継続期間: 2020 2月 192020 2月 21

出版物シリーズ

名前2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
国/地域Japan
CityFukuoka
Period20/2/1920/2/21

ASJC Scopus subject areas

  • 情報システムおよび情報管理
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 信号処理

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