• DocumentCode
    2745573
  • Title

    Building cognitive radios in MATLAB Simulink — A step towards future wireless technology

  • Author

    Tabassam, Ahmad Ali ; Suleman, Muhammad Uzair ; Kalsait, Sumit ; Khan, Sheheryar

  • Author_Institution
    Inst. of Inf., Brandenburg Univ. of Technol., Cottbus, Germany
  • fYear
    2011
  • fDate
    20-22 June 2011
  • Firstpage
    15
  • Lastpage
    20
  • Abstract
    Cognitive Radio (CR) is a future radio technology that is aware of its environment, internal state and can change its operating behavior (transmitter parameters) accordingly. It is intended to coexist with primary users (PUs) for using the underutilized spectrum without any harmful interference. Its key domains are sensing, cognition and adaptation. This paper presents a detailed survey of coexistence techniques used in IEEE 802 wireless network standards family to reduce the interference between different types of networks. It also presents a prototype system for designing and testing cognitive radios built on top of software defined radio in a MATLAB/-Simulink and interfaced with a universal software radio peripheral-2 (USRP2) main-board and RFX2400 daughter board from Ettus Research LLC. The philosophy behind the prototype is to sense, predict and adjust the operating parameters to achieve the desired objectives. The PUs detection (sensing) is performed using the statistical (non-parametric) spectrum estimation techniques, which are more useful in a noisy environment. Regression-based statistical time-series modeling & analysis are carried for PU´s channel behavior prediction for spectrum decisions. Software-defined radio is used for reconfigurability to adjust the operating parameters of the cognitive radios.
  • Keywords
    cognitive radio; radio networks; radio transmitters; regression analysis; time series; Ettus Research LLC; IEEE 802 wireless network standards; MATLAB simulink; RFX2400 daughter board; USRP2; cognitive radios; radio technology; regression-based statistical time-series analysis; regression-based statistical time-series modeling; software-defined radio; statistical spectrum estimation techniques; transmitter parameters; universal software radio peripheral-2; wireless technology; Autoregressive processes; Cognitive radio; Interference; Predictive models; Sensors; Software radio; Time series analysis; MATLAB/-Simulink; USRP2; autoregressive model; coexistence; cognitive radio; software defined radio; spectrum estimation; spectrum prediction; spectrum sensing; time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Advanced (WiAd), 2011
  • Conference_Location
    London
  • Print_ISBN
    978-1-4577-0110-8
  • Type

    conf

  • DOI
    10.1109/WiAd.2011.5983278
  • Filename
    5983278