A hybrid model for energy efficient spectrum sensing in cognitive radio

作     者：Mahua Bhowmik P.Malathi 

作者机构：PES’s Modern College of EngineeringSPPUPuneIndia D.Y.Patil College of EngineeringPuneIndia 

出 版 物：《International Journal of Intelligent Computing and Cybernetics》 (智能计算与控制论国际期刊（英文）)

年 卷 期：2022年第15卷第2期

页      面：165-183页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Actor critic neural network Cognitive radio Spectrum sensing Optimization Hidden Markov Model 

摘      要：Purpose-Cognitive radio(CR)plays a very important role in enabling spectral efficiency in wireless communication networks,where the secondary user(SU)allows the licensed primary users(PUs).The purpose of this paper is to develop a prediction model for spectrum sensing in ***/methodology/approach-This paper proposes a hybrid prediction model,called krill-herd whale optimization-based actor critic neural network and hidden Markov model(KHWO-ACNN-HMM).The spectral bands are determined optimally using the proposed hybrid prediction model for allocating the spectrum bands to the *** better sensing,the eigenvalue based on cooperative sensing used in ***,a hybrid model is designed by hybridizing KHWO-ACNN and HMM to enhance the accuracy of *** predicted results of KHWO-ACNN and HMM are combined by a fusion model,for which a weighted entropy fusion is employed to determine the free spectrum available in ***-The performance of the prediction model is evaluated based on metrics,such as probability of detection,probability of false alarm,throughput and sensing *** proposed spectrum sensing method achieves maximum probability of detection of 0.9696,minimum probability of false alarm rate as 0.78,minimum throughput of 0.0303 and the maximum sensing time of 650.08 *** implications-The proposed method is useful in various applications,including authentication applications,wireless medical networks and so ***/value-A hybrid prediction model is introduced for energy efficient spectrum sensing in CR and the performance of the proposed model is evaluated with the existing *** proposed hybrid model outperformed the other techniques.