Optimization of Cooperative Models in Cognitive Networks Using Genetic Algorithm
Nanduri V S S Ramya Jyothi1, B. Leela Kumari2

1Nanduri V S S Ramya Jyothi, Department of Electronics and Communication Engineering, JNT University, (Telangana), India.
2B. Leela Kumari, Assistant Professor, Department of Electronics and Communication Engineering, JNT University, (Telangana), India.
Manuscript received on 18 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3257-3260 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14260982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1426.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The main theme of the 5G radio otherwise called as Cognitive Radio is to utilize the spectrum to a licensed spectrum to the secondary users make this happen and to provide utmost efficiency. The allocation of spectrum holes of unutilized of this paper is to provide the primary and cognitive users optimal delay and throughput. A practical WC-policy-based algorithm is designed in sequence to closely approach the optimal value of the SU delay where the secondary users are maximized in terms of traffic. With the optimized SU delay the throughput of the primary user is also constrained. The trade-off between the parameters delay and throughput is attained by optimization problems using three different policies: WC policy, Non-WC policy and sub optimal policy. The trade-off is further improved by using the Genetic algorithm which is an evolutionary computational iterative process works on the principle of Darwin theory. This implementation had promoted better trade-off than the existing policies.
Keywords: Cognitive Radio, Delay, Genetic Algorithm, Optimization, Throughput, Trade-off.
Scope of the Article: Algorithm Engineering