Hybrid Approach for Spectrum Allocation in Cognitive Radio Networks

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Khosravi, Ehsan | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49955 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Hemmatyar, Ali Mohammad Afshin; Movaghar, Ali
Abstract:
In recent years, demand for frequency spectrum has increased rapidly. Cognitive radio technology, as a tool for better access to the frequency spectrum, opportunistically uses the bandwidth of a licensed frequency band to solve the problem of congestion in unlicensed frequency bands. The spectrum allocation is one of the first steps in the implementation of cognitive radio networks. Many studies have been done to solve the problem of optimal spectrum allocation in such networks. One of the most commonly used methods to solve the optimization problem is using meta-heuristic algorithms. Harmony search and artificial bee colony algorithms are two of the most successful methods for this purpose. Using the strengths of these two algorithms, in this research we present a new algorithm to solve the problem of optimal spectrum allocation in cognitive radio networks, and then we verify the functionality with MATLAB simulation tool. Considering the bit error rate as a criteria, simulation results show an acceptable improvement
Keywords:
Harmony Search Algorithm ; Artificial Bee Colony ALgorithm ; Cognitive Radio ; Spectrum Assignment ; Meta Heuristic Algorithm