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作 者:R.Saravanan R.Muthaiah A.Rajesh
机构地区:[1]School of Computing,SASTRA Deemed University,Thanjavur,613401,India [2]School of Electrical&Electronics Engineering,SASTRA Deemed University,Thanjavur,613401,India
出 处:《Computer Modeling in Engineering & Sciences》2024年第3期2339-2356,共18页工程与科学中的计算机建模(英文)
摘 要:This study develops an Enhanced Threshold Based Energy Detection approach(ETBED)for spectrum sensing in a cognitive radio network.The threshold identification method is implemented in the received signal at the secondary user based on the square law.The proposed method is implemented with the signal transmission of multiple outputs-orthogonal frequency division multiplexing.Additionally,the proposed method is considered the dynamic detection threshold adjustments and energy identification spectrum sensing technique in cognitive radio systems.In the dynamic threshold,the signal ratio-based threshold is fixed.The threshold is computed by considering the Modified Black Widow Optimization Algorithm(MBWO).So,the proposed methodology is a combination of dynamic threshold detection and MBWO.The general threshold-based detection technique has different limitations such as the inability optimal signal threshold for determining the presence of the primary user signal.These limitations undermine the sensing accuracy of the energy identification technique.Hence,the ETBED technique is developed to enhance the energy efficiency of cognitive radio networks.The projected approach is executed and analyzed with performance and comparison analysis.The proposed method is contrasted with the conventional techniques of theWhale Optimization Algorithm(WOA)and GreyWolf Optimization(GWO).It indicated superior results,achieving a high average throughput of 2.2 Mbps and an energy efficiency of 3.8,outperforming conventional techniques.
关 键 词:Cognitive radio network spectrum sensing noise uncertainty modified black widow optimization algorithm energy detection technique
分 类 号:TN92[电子电信—通信与信息系统]
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