Adaptive spectrum sensing for agile cognitive radios

A. Tajer, R.M. Castro, Xiaodong Wang

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

    10 Citations (Scopus)

    Abstract

    Abstract Vast segments of the frequency spectrum are licensed to specific users for particular applications. These legacy users, however, often under-utilize their designated spectrum segments. Unlicensed (secondary) users can benefit from this fact and opportunistically exploit the vacant spectrum segments (spectral holes). Due to the transient nature of the spectrum occupancy it becomes imperative for secondary users to quickly identify such spectral holes. To accomplish this, we propose a novel sequential and adaptive spectrum sensing procedure. The underlying notion of this procedure is to progressively allocate the sensing resources to only the most promising areas of the spectrum. This translates in a reduction of sensing resources and time needed to accurately identify spectrum holes, in contrast with more conventional approaches that allocate the sensing budget over the entire spectrum uniformly. The proposed method is theoretically sound and further supported by simulation results. Index Terms: Adaptive spectrum sensing, agility, cognitive radio, reliability.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Dallas TX, USA, March 14-19, 2010)
    PublisherInstitute of Electrical and Electronics Engineers
    Pages2966-2969
    ISBN (Print)978-1-4244-4295-9
    DOIs
    Publication statusPublished - 2010

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