Cooperative and noncooperative spectrum sensing techniques using Welch's periodogram in cognitive radios

Heli Sarvanko, Miia Mustonen, Atso Hekkala, Aarne Mämmelä, Marja Matinmikko, Marcos Katz

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

    33 Citations (Scopus)

    Abstract

    Radio spectrum deployment is growing considerably. With this respect finding unutilized frequency channels for new applications has become much more challenging. The problem can be solved by letting unlicensed systems to dynamically use unexploited licensed bands. This kind of flexible spectrum usage requires telecommunication systems to be equipped by an ability to specify unoccupied parts of radio spectrum. One method to identify temporarily unused parts of radio spectrum is spectrum sensing. In this paper, we focus on spectrum sensing using Welch's periodogram. In particular, we generalize and apply the theoretical analysis of the energy detection to the Welch's periodogram. Furthermore, we extend our study to cooperative spectrum sensing. The results indicate that the cooperation between two radios provides the highest cooperation gain.
    Original languageEnglish
    Title of host publication2008 First International Workshop on Cognitive Radio and Advanced Spectrum Management
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages1-5
    ISBN (Electronic)978-1-4244-2140-4
    ISBN (Print)978-1-4244-2139-8
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA4 Article in a conference publication
    EventFirst IEEE International Workshop on Cognitive Radio and Advanced Spectrum Management, IEEE CogART'08 - Aalborg, Denmark
    Duration: 14 Feb 200814 Feb 2008
    Conference number: 1

    Workshop

    WorkshopFirst IEEE International Workshop on Cognitive Radio and Advanced Spectrum Management, IEEE CogART'08
    Abbreviated titleIEEE CogART'08
    Country/TerritoryDenmark
    CityAalborg
    Period14/02/0814/02/08

    Keywords

    • cognitive radio
    • power control
    • spatial databases
    • radiofrequency identification
    • spectrum sensing techniques
    • wireless channels

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