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Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing

研究成果: Conference contribution

抄録

Spectrum sharing allows multiple users, i.e., a primary user (PU) and secondary users (SUs), to share the same frequency band while protecting the communication quality of the PU. Therefore, when an SU shares the same frequency band as the PU, it is necessary to protect the PU's communication temporally and spatially. In general, the protected area is constructed to guarantee the PU's transmission, by disabling frequency sharing within this area. However, this area is generally set to be wider than necessary, and the area that can be shared is limited. In addition, if the SU detects communication from the PU during frequency sharing, the SU must immediately switch to another frequency band to protect the PU communication. With existing technology, the presence or absence of PU communication is judged instantaneously, so the SU temporarily stops transmission at the moment of switching to another frequency band. A spectrum database (SD) stores measured values such as received signal strength (RSS) of the PU has been considered to be a solution for spectrum sharing. In this research, we develop an algorithm that uses the information stored in the SD to detect the vacant frequency in advance by taking into account the moving direction of SU.

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262-266
ページ数5
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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