Signal detection performance of overlapped FFT scheme with frame summation of adjacent channels

Akihiro Sato, Shoya Uchida, Mamiko Inamori, Yukitoshi Sanada, Mohammad Ghavami

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Cognitive radio is expected to improve the efficiency of frequency usage, capacity, and dependability of a wireless system. In order to change the radio parameters flexibly, the CR terminal should measure the radio environments on adjacent channels as well as the channel for communication. This paper proposes an overlapped FFT energy detection of adjacent channels with frame summation. The proposed scheme constructs new frame through summation and reduces the energy of the noise at the outputs of FFT. Numerical results obtained through computer simulation have shown that the overlapped FFT with no frame summation and with frame summation improve the probability of detection by about 2% and 3%, respectively, as compared to that without overlapping on the adjacent channel.

    Original languageEnglish
    Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
    DOIs
    Publication statusPublished - 2013 Dec 1
    Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
    Duration: 2013 Sep 22013 Sep 5

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Other

    Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
    CountryUnited States
    CityLas Vegas, NV
    Period13/9/213/9/5

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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  • Cite this

    Sato, A., Uchida, S., Inamori, M., Sanada, Y., & Ghavami, M. (2013). Signal detection performance of overlapped FFT scheme with frame summation of adjacent channels. In 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 [6692411] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2013.6692411