Priority channel selection based on detection history database

Johanna Vartiainen, Marko Höyhtyä, Janne Lehtomäki, Timo Bräysy

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

34 Citations (Scopus)

Abstract

This paper proposes a new database-based two-stage channel selection method for cognitive radios. The proposed method consists of two stages, namely the database collection and signal detection parts. The database collects information about channels. When a cognitive radio needs to find an unoccupied channel for a transmission, it sends a query to the database. Based on the information collected to the database, the most probably unoccupied channels at requesting time are the best candidates when searching unoccupied channels, and these channels are submitted to the cognitive radio. The cognitive radio performs first the power level detection. Based on the power level information delivered from the database, a full signal detection is performed next to the channel with low enough power level to ensure that the channel is really unoccupied. (16 refs.)
Original languageEnglish
Title of host publicationProceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications
Place of PublicationPiscataway
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages5
ISBN (Electronic)978-1-4244-5885-1
ISBN (Print)978-1-4244-5885-1
Publication statusPublished - 2010
MoE publication typeNot Eligible
EventFifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications - Cannes, France
Duration: 9 Jun 201011 Jun 2010
Conference number: 5

Conference

ConferenceFifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications
Abbreviated titleCrownCoM 2010
CountryFrance
CityCannes
Period9/06/1011/06/10

Keywords

  • databases
  • sensors
  • cognitive radio
  • signal detection
  • delay
  • history
  • object recognition

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