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

33 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
PublisherInstitute of Electrical and Electronic Engineers IEEE
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

Fingerprint

Cognitive radio
Signal detection

Keywords

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

Cite this

Vartiainen, J., Höyhtyä, M., Lehtomäki, J., & Bräysy, T. (2010). Priority channel selection based on detection history database. In Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications Piscataway: Institute of Electrical and Electronic Engineers IEEE.
Vartiainen, Johanna ; Höyhtyä, Marko ; Lehtomäki, Janne ; Bräysy, Timo. / Priority channel selection based on detection history database. Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Piscataway : Institute of Electrical and Electronic Engineers IEEE, 2010.
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Vartiainen, J, Höyhtyä, M, Lehtomäki, J & Bräysy, T 2010, Priority channel selection based on detection history database. in Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Institute of Electrical and Electronic Engineers IEEE, Piscataway, Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Cannes, France, 9/06/10.

Priority channel selection based on detection history database. / Vartiainen, Johanna; Höyhtyä, Marko; Lehtomäki, Janne; Bräysy, Timo.

Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Piscataway : Institute of Electrical and Electronic Engineers IEEE, 2010.

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

TY - GEN

T1 - Priority channel selection based on detection history database

AU - Vartiainen, Johanna

AU - Höyhtyä, Marko

AU - Lehtomäki, Janne

AU - Bräysy, Timo

PY - 2010

Y1 - 2010

N2 - 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.)

AB - 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.)

KW - databases

KW - sensors

KW - cognitive radio

KW - signal detection

KW - delay

KW - history

KW - object recognition

M3 - Conference article in proceedings

SN - 978-1-4244-5885-1

BT - Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications

PB - Institute of Electrical and Electronic Engineers IEEE

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Vartiainen J, Höyhtyä M, Lehtomäki J, Bräysy T. Priority channel selection based on detection history database. In Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Piscataway: Institute of Electrical and Electronic Engineers IEEE. 2010