Novel Spectrum Handoff scheme in Cognitive Radio with Multiple Attributes

Cognitive radio is a technology that can be used to detect accessible data transmission channels in the wireless spectrum. To avoid user interference and congestion, the cognitive radio is employed. Multiple parameters make up the network, which are used to choose the best network for transmission without delay. The goal of this paper is to investigate and develop a spectrum handoff scheme using MADM (Multiple Attributes Decision Making) methods like simple additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS), grey relational analysis (GRA), cost function-based method (CFB), and Enhanced technique for order preference (ETOPSIS). In two different circumstances, the research work has been implemented. In the first scenario, MADM methods were used to implement all four network selection strategies, as well as Enhanced TOPSIS (ETOPSIS). Voice, video, and data services, sometimes called as triple play services, are depending on CR preferences. In cognitive radio networks, the proposed MADM spectrum handoff system will be efficiently implemented to select the best network in line with triple play services. Spectrum management concerns such as spectrum sensing and sharing make CRN networks difficult to manage. As a result, ARODN (Adaptive Rider Optimization with Different Noise) is created in this study to increase energy efficiency for various spectrum sensing circumstances. As a result, in the second example, various noises such as AWGN, Rayleigh, and Nagakami noises are introduced to the receiver signal, and spectrum sensing and sharing are evaluated on the basis of which the bit error rate is depicted (BER). As a result, the suggested approach is used to calculate the bit error rate for three different noise scenarios. MATLAB is used to implement the proposed approach.