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：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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 CR.Design/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 PUs.For better sensing,the eigenvalue based on cooperative sensing used in CR.Finally,a hybrid model is designed by hybridizing KHWO-ACNN and HMM to enhance the accuracy of sensing.The 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 CRs.Findings-The performance of the prediction model is evaluated based on metrics,such as probability of detection,probability of false alarm,throughput and sensing time.The 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 s.Research implications-The proposed method is useful in various applications,including authentication applications,wireless medical networks and so on.Originality/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 models.The proposed hybrid model outperformed the other techniques.