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.
Highlights
The Cognitive Radio Technology is a wireless conceptual communication system which is sensitive to its surrounding environment
The GA parameter settings are used for the data ratio (DR) set to 265 kbps, the PWR is 15 db and the bit error rate (BER) is 10−5
The simulations are repetitively performed meant for 100 times by way of the 200 GAs iterations to appraise the efficacy of the proposed scheme and output consisted of final optimized gene values
Summary
The Cognitive Radio Technology is a wireless conceptual communication system which is sensitive to its surrounding environment. Akyildiz.I.F,Has proposed the system intended for cooperative bandwidth sensing in Cognitive Radio Technology This method realizes communication management functions that are required for Cognitive Radio Technology by means of targeted, efficient to meet challenges such as avoidance of intrusion, knowledge of QoS and seamless communication. This system uses the environment approach and modifies its internal states for statistical variations in incoming Radio Frequency stimuli Such modifications are known by its functionalities relevant to complex spectrum management. Gardner.W et al, Have suggested an optimization scheme is to minimize the BER, and to maximize the power consumption for efficient throughput by means of overflowing the comprehensive parameter by the reconfiguration simulation model using the comparable GA parameters to ensure the QoS. The solution to accommodate the effects of the PU operation on the CRN output is not addressed to all of the schemes mentioned [5]
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