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A Compressive Sensing Approach to Analyze the Performance of wideband Cognitive Radio Networks

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dc.contributor.advisor Alam, Prof. Dr. Sk. Shariful
dc.contributor.author Ahmmed, S. M. Bulbul
dc.date.accessioned 2018-12-31T06:55:41Z
dc.date.available 2018-12-31T06:55:41Z
dc.date.copyright 2018
dc.date.issued 2018-04
dc.identifier.other ID 1309551
dc.identifier.uri http://hdl.handle.net/20.500.12228/477
dc.description This thesis is submitted to the Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electronics and Communication Engineering, April 2018. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 52-58).
dc.description.abstract In the field of wireless communication systems, Cognitive Radio (CR) technology is the talk of the time for the best utilization of spread spectrum frequency. In the Wideband range, traditional Narrowband Sensing methods are not suitable to apply for performing Spectrum Sensing, as of making a single binary decision (Primary User present or absent) in the entire Wideband signal, thus cannot locate individual spectral opportunities that rely within the Wideband Spectrum. The Compressive Sensing (CS) can recover sparse signals at Sub-Nyquist rates and it depends on this principle of sparsity, so that a brief representation of the signal is possible when expressed in a suitable form. This research work has proposed a model of CR receiver sensing module which can be able to estimate a significant part (which is highly sparse among the segments of the spectrum) of the entire Wideband Spectrum with lower computational complexity. This propose work aims to analyze the compression ratio, i.e. M/N, with different number of Primary User (PUs) present in the wideband frequency from the Receiver Operating Characteristics (ROC) curves. Additionally, it is also analyzed that how the compression ratio, M/N characteristics varies with signal-t-noise ratio (SNR) in the wideband frequency from the ROC curves. This work investigates the probability of detection, Pd versus SNR for a fixed M/N and the throughput of a CR network against sensing period for a fixed frame length and vice versa. This proposed work also aims to find the requirement of less computational complexity and physical memory. Eventually, from the wide investigations through our proposed research work, it is found that the proposed method provides better throughput for fixed frame length as well as fixed sensing slot duration as well as frame duration the throughput is greater for shorter sensing time period. It can hopefully state in the final point that the proposed method proves its significance in CR system. en_US
dc.description.statementofresponsibility S. M. Bulbul Ahmmed
dc.format.extent 59 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports 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.subject Cognitive Radio (CR) Technology en_US
dc.subject Wideband Range en_US
dc.subject Narrowband Sensing Methods en_US
dc.subject Wideband Spectrum en_US
dc.title A Compressive Sensing Approach to Analyze the Performance of wideband Cognitive Radio Networks en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Electronics and Communication Engineering
dc.contributor.department Department of Electronics and Communication Engineering


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