Genetic Algorithm Dependent Qos Aware Adaptive Subcarrier Allocation Scheme in Cognitive Radio Networks
Rajalakshmi1, P.Sumathy2

1Rajalakshmi*, Scholar, Department of Computer Science, Bharathidasan University, Trichy, Tamil Nadu, India.
2Dr. P. Sumathy, Assisatnt Professor, Department of Computer Science, Bharathidasan University, Trichy, Tamil Nadu, India.

Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 99-106 | Volume-9 Issue-4, April 2020. | Retrieval Number:  C6083029320/2020©BEIESP | DOI: 10.35940/ijeat.C6083.049420
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Abstract: Cognitive Radio Network technology is an efficient and intelligent system with the intention of detecting automatically about the availability of channels in a wireless spectrum and changing transmission parameters to facilitate more communication.In Quality of Service aware spectrum decision making system is locating the spectrum bands all the way through in view of the application necessities by means of the self-motivated nature of the spectrum bands.Here, an innovative adaptive sub-carrier allocation mechanism is proposed for Cognitive Radio Networks by rearranging the functional parameters anchored in the Proportional Resource Algorithm and Genetic Algorithm.This proposed scheme is designed to achieve a divergent performance standard for subcarrier allocation and power allocation system of the Cognitive Radio Network users. The suggested scheme is proven to be effective by maximizing the allocation of data rate for each subcarrier. Moreover, by increasing the overall network throughput, the numbers of satisfied users within bandwidth limits are maintained with the quality of service. In fact, it locates the maximum channel availability.
Keywords: Cognitive Radio Technology, Genetic Algorithm, Quality of Service,Proportional Resource Algorithm, Subcarrier Allocation