Performance Analysis of Data Negation Codes for Cognitive Radio 123 Shribala N.1,*, Dr. Srihari P.2,**, Dr. Jinaga B. C.3,*** 1Department of ECE, Bhoj Reddy Engineering College for Women, Hyderabad, A.P, India 2Department of EIE, GITAM, Hyderabad, A.P, India 3Department of ECE, JNTUH, Hyderabad, A.P, India *E-mail: shribalanagul71@gmail.com
**mail2pshari@yahoo.com
***jinagabc@gmail.com
Online published on 4 November, 2017. Abstract Error Correcting Codes play an important role in maintaining a reliable link in the communication system. Error correcting codes are used to protect the system against errors introduced due to various reasons in the transmission media. These Codes enable the communication systems to have a reliable transmission over noisy channels. Cognitive Radio is a creative technology proposed to increase spectrum usage by allowing cognitive users to use the unused spectrum in changing environments. The Cognitive Radio (CR) technology will allow a group of potential users to identify and access available spectrum resources provided that the interference to the users for whom the band has been licensed is kept below a prescribed level. During the spectrum allocation for Primary user and cognitive user, lot of information may be lost due to random and burst errors and power issues. A secondary user (SU) can improve its data rate by increasing its transmission bandwidth while operating at low power and without creating destructive interference to the primary users (PUs). To achieve the acceptable error rate Forward error correction (FEC)control is done where received error rate is Controlled via Forward Transmission only. In this paper, a new Systematic Double Error Correcting Linear Block Code is proposed called the Data Negation codes. The performance of Data Negation codes for cognitive Radio is described in terms of Probability of undetected errors and also comparison of the proposed code is done with the existing Systematic Double error correcting Linear Block Code.. Top Keywords Cognitive Radios, Software Defined Radios, Primary User, Cognitive User and Spectrum Sensing. Top |