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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Cross-layer design and implementation of cognitve radio system

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    16141026.pdf (611.0Kb)
    Date
    2016-03
    Publisher
    BRAC University
    Author
    Mohiuddin, Ibrahim Bin
    Anis, Nawshin
    Ahmed, Saraf Wamia
    Anan, Zaki
    Metadata
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    URI
    http://hdl.handle.net/10361/5419
    Abstract
    Demand of ever-present wireless services requires the use of more spectrum resources. However, present wireless networks are segmented by a fixed spectrum allocation policy. This fixed allocation of spectrum has lead to unused or underutilized bandwidth (namely spectrum holes) where opportunistic spectrum sharing increased its efficiency. To address this problem, cognitive radio is being uplifted as an emerging solution which uses intelligent technology to autonomously adapt in operating parameters in dynamic conditions. This paper starts with the illustrations of cognitive radio and classifications of spectrum sensing techniques which are then simulated by providing manual parameters through an algorithm in MATLAB. The simulation consist a set of dummy primary users who are set with specific bandwidth and using energy detection technique those spectrum bands are allocated dynamically to a set of secondary users during the idle period of the primary users. Lastly, a signal to noise ratio (SNR) manipulation has been implemented to observe how spectrum sensing is affected which in turn aided to understand spectrum allocation. Page
    Keywords
    Computer science and engineering; CSE; Cognitve radio system
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 35-36).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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