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Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages262-266
Number of pages5
ISBN (Electronic)9781728149851
DOIs
Publication statusPublished - 2020 Feb
Externally publishedYes
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 2020 Feb 192020 Feb 21

Publication series

Name2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Country/TerritoryJapan
CityFukuoka
Period20/2/1920/2/21

Keywords

  • Algorithm design
  • Detection vacant frequency
  • Fading
  • Frequency allocation
  • Rayleigh channels
  • Spectrum database
  • Spectrum sharing

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

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