Performance Analysis of Three Spectrum Sensing Detection Techniques with Ambient Backscatter Communication in Cognitive Radio Networks  

作　　者：Shayla Islam Anil Kumar Budati Mohammad Kamrul Hasan Saoucene Mahfoudh Syed Bilal Hussian Shah 

机构地区：[1]Institute of Computer Science&Digital Innovation,ICSDI,UCSI University,Kuala Lumpur,56000,Malaysia [2]Center for Cyber Security,Faculty of Information Science and Technology,Universiti Kebangsaan Malaysia(UKM),Selangor,43600,Malaysia [3]School of Engineering,Computing and Informatics,Dar Al-Hekma University,Jeddah,22246,Saudi Arabia

出　　处：《Computer Modeling in Engineering & Sciences》2023年第10期813-825,共13页工程与科学中的计算机建模（英文）

基　　金：the Ministry of Higher Education Malaysia for funding this research project through Fundamental Research Grant Scheme(FRGS)with Project Code:FRGS/1/2022/TK02/UCSI/02/1 and also to UCSI University.

摘　　要：In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promisingapproach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio(SNR), there is no dedicated power for the users. Instead, they can transmit information by reflecting the ambientRadio Frequency (RF) signals in the spectrum. Therefore, it is essential to detect user presence in the spectrum forthe transmission of data without loss or without collision at a specific time. In this paper, the authors proposed anovel Spectrum Sensing (SS) detection technique in the Cognitive Radio (CR) spectrum, by developing the AmBC.Novel Matched Filter Detection with Inverse covariance (MFDI), Cyclostationary Feature Detection with Inversecovariance (CFDI) and Hybrid Filter Detection with Inverse covariance (HFDI) approaches are used with AmBCto detect the presence of users at low power levels. The performance of the three detection techniques is measuredusing the parameters of Probability of Detection (PD), Probability of False Alarms (Pfa), Probability of MissedDetection (Pmd), sensing time and throughput at low power or low SNR. The results show that there is a significantimprovement via the HFDI technique for all the parameters.

关 键 词：Ambient backscatter communication cognitive radio MFDI CFDI HFDI 

分 类 号：TN92[电子电信—通信与信息系统]