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http://hdl.handle.net/10603/375234
Title: | Development of an Efficient Low Complexity Channel Decision Model with Conflicting Decision Parameters and its Performance Comparison in Cognitive Radio Network |
Researcher: | Rahul Vijayrao Awathankar |
Guide(s): | Dr. M. S. S. Rukmini, Dr. Rajeshree D. Raut |
Keywords: | Engineering and Technology Engineering Instruments and Instrumentation |
University: | Vignans Foundation for Science Technology and Research |
Completed Date: | 2021 |
Abstract: | Cognitive Radio Networks (CRNs) offer a promising capability of reducing the issues of spectrum insufficiency. In CRNs, the licensed spectrum channels are either exclusively reserved for licensed users or temporarily used by unlicensed users. The prerequisite for unlicensed users is to not harmfully impair the licensed user s transmissions. Because of this, the unlicensed users must solve the task to decide which available channels should be selected. The selection process is often referred to as spectrum decision, to optimize the transmission performance of unlicensed users. In this thesis, we have proposed an efficient free-channel selection scheme. With the free channel selection scheme, the number of comparison computations in the fusion center will be very less. It will help to improve the performance of the Fusion center in Cooperative Cognitive Radio Networks. The proposed channel decision model has been derived as an integrated approach by using successful MCDM techniques such as MOORA. newlineIn a cognitive radio network, channel decision is a critical assignment to utilize the unused spectrum band as a secondary user without interfering with the primary user. Thus different criteria of the available spectrum are exploited as per the requirement of the secondary user to establish connectivity with the network for data transmission. A utility problem with different criteria and with different alternative solutions has to be resolved. The concept of utility has always been a crucial point in decision-making. We need to work on four problems: the choice of alternative per criteria, the normalization, the optimization, and the importance, which is given to an objective. MOORA tries to satisfy all these preliminary conditions. Multi-objective optimization based on ratio analysis (MOORA) algorithm is proposed as multiple criteria decision-making method for channel decision in the cognitive radio environment. MOORA method acquires contradictory appearances such as criteria and alternatives available. |
Pagination: | 152 |
URI: | http://hdl.handle.net/10603/375234 |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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10_chapter-7.pdf | Attached File | 228.7 kB | Adobe PDF | View/Open |
11_references.pdf | 1.26 MB | Adobe PDF | View/Open | |
12_publications.pdf | 1.48 MB | Adobe PDF | View/Open | |
1_title.pdf | 76.45 kB | Adobe PDF | View/Open | |
2_certificate.pdf | 113.81 kB | Adobe PDF | View/Open | |
3_preliminarypages.pdf | 117.05 kB | Adobe PDF | View/Open | |
4_chapter-1.pdf | 925.69 kB | Adobe PDF | View/Open | |
5_chapter-2.pdf | 265.93 kB | Adobe PDF | View/Open | |
6_chapter-3.pdf | 708.16 kB | Adobe PDF | View/Open | |
7_chapter-4.pdf | 1.16 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 3.05 MB | Adobe PDF | View/Open | |
8_chapter-5.pdf | 850.55 kB | Adobe PDF | View/Open | |
9_chapter-6.pdf | 640.9 kB | Adobe PDF | View/Open |
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