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dc.contributor.advisorKhan, Md. Muhidul Islam
dc.contributor.authorMohiuddin, Ibrahim Bin
dc.contributor.authorAnis, Nawshin
dc.contributor.authorAhmed, Saraf Wamia
dc.contributor.authorAnan, Zaki
dc.date.accessioned2016-05-31T12:35:20Z
dc.date.available2016-05-31T12:35:20Z
dc.date.copyright2016
dc.date.issued2016-03
dc.identifier.otherID 16141026
dc.identifier.otherID 12110015
dc.identifier.otherID 12110030
dc.identifier.otherID 16141027
dc.identifier.urihttp://hdl.handle.net/10361/5419
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 35-36).
dc.description.abstractDemand 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. Pageen_US
dc.description.statementofresponsibilityIbrahim Bin Mohiuddin
dc.description.statementofresponsibilityNawshin Anis
dc.description.statementofresponsibilitySaraf Wamia Ahmed
dc.description.statementofresponsibilityZaki Anan
dc.format.extent36 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectComputer science and engineeringen_US
dc.subjectCSEen_US
dc.subjectCognitve radio systemen_US
dc.titleCross-layer design and implementation of cognitve radio systemen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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