Design and Implementation of a Power-aware FFT Core for OFDM-based DSA-enabled Cognitive Radios

Roberto Airoldi, Fabio Campi, Manuele Cucchi, Deepak Revanna, Omer Anjum, Jari Nurmi

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)


    This research work presents the design and the physical implementation of a power aware FFT core for OFDM-based, dynamic spectrum access (DSA) enabled cognitive radios. The FFT core is equipped with a pruning engine that allows the run-time removal of dummy operations (e.g. multiplications by a zero term) related to the pruning of sub-carriers of the communication systems. The pruning algorithm introduced by this research work utilizes a reduced size configuration matrix, which limits the memory requirements' overhead. Finally, the physical implementation of the FFT on a 45 nm technology node showed that, for a 8 % area overhead, the total power saving settles around 10 % when in the presence of a medium to high pruning level, justifying the silicon area overhead introduced by the pruning unit.

    Original languageEnglish
    Pages (from-to)257-265
    Number of pages9
    JournalJournal of Signal Processing Systems
    Issue number3
    Early online date1 Jan 2014
    Publication statusPublished - 2015
    Publication typeA1 Journal article-refereed


    • Cognitive radios
    • Dynamic spectrum access
    • OFDM
    • FFT pruning
    • Low power design

    Publication forum classification

    • Publication forum level 1


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