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Detection performance of soft data fusion in Rician fading channel for cognitive radio network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116741" target="_blank" >RIV/00216305:26220/15:PU116741 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection performance of soft data fusion in Rician fading channel for cognitive radio network

  • Original language description

    A cooperative spectrum sensing (CSS) scheme forcognitive radio network (CRN) is proposed in this paper. The energy values from different cognitive radios (CRs) are used to perform the soft combining operation. More precisely, we analyze the performance of CSS with several soft data fusion schemes: square law selection (SLS), maximal ratio combining (MRC), square law combining (SLC), and selection combining (SC) in Nakagami-n (Rician) fading environment. Towards that, an expression of detection probability in closed-form for each soft data fusion scheme in Rician fading channel is derived. A comparative performance of soft data fusion schemes has been illustrated for different network and channel parameters. Further, the performance comparison between soft data and hard decision combining schemes (such as majority-rule, AND-rule, and OR-rule) is also investigated

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 18th International Symposium on Wireless Personal Multimedia Communications

  • ISBN

    9781479904631

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    Neuveden

  • Event location

    Sendai, Japan

  • Event date

    Sep 7, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article