Combination of short term and long term database for cognitive radio resource management

Marko Höyhtyä, Johanna Vartiainen, Heli Sarvanko, Aarne Mämmelä

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

    10 Citations (Scopus)

    Abstract

    We propose a method that uses long term information on the use of primary channels to select the most auspicious ones to be sensed and exploited by cognitive radios at the requesting time. These channels are investigated in more detail over the short term. Sensing results are stored in the short term database and used to predict which channels are best for data transmission. The method makes the operation of cognitive radios more reliable and efficient in terms of delay and throughput, and decreases collisions with primary users.
    Original languageEnglish
    Title of host publication2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)
    Pages1-5
    ISBN (Electronic)978-1-4244-8132-3, 978-1-4244-8130-9
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA4 Article in a conference publication
    Event3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010 - Roma, Italy
    Duration: 7 Nov 201010 Nov 2010
    Conference number: 3

    Conference

    Conference3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
    Abbreviated titleISABEL 2010
    Country/TerritoryItaly
    CityRoma
    Period7/11/1010/11/10

    Keywords

    • Learning
    • predictive channel selection
    • dynamic spectrum access

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