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Arithmetic Optimization Algorithm quantization Optimized With energy detection Using nonparametric amplitude

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2024年第1期38卷

作者： Nesakumar, Darwin A. Devi, Rukmani S. Inbamalar, T. M. Pavithra, K. N. RMK Engn Coll Dept Elect & Commun Engn Chennai Tamil Nadu India RMD Engn Coll Dept Elect & Commun Engn Chennai Tamil Nadu India RMK Coll Engn & Technol Dept Elect & Commun Engn Chennai Tamil Nadu India RMD Engn Coll Dept Comp Sci & Engn Chennai Tamil Nadu India

The spectrum sensing is a major significant task in cognitive radio networks (CRNs) to avoid the unacceptable interference to primary users (PUs). Here, the threshold value determines the effectiveness of spectrum sensing and regarded as a sensing system. The fixed threshold used by the current energy detection-based spectrum sensing (SS) techniques does not provide sufficient safety for the main users. The threshold is determined by lowering the complete probability of decision error in addition to these guidelines. Therefore, an energy detection using nonparametric amplitude quantization optimized with arithmetic optimization algorithm for enhanced spectrum sensing in CRNs (ED-NAQ-AOA-SS CRN) is proposed in this paper to acquire the ideal threshold for decreasing the total error probability. The proposed method achieves greater probability of detection of 99.67%, 98.38%, 92.34%, and 97.45%, lower settling time of 98.33%, 89.34%, 83.12%, and 88.96%, and lower error rate of 93.15%, 91.25%, 79.90%, and 92.88% compared with existing techniques, like intelligent spectrum sharing and sensing in CRN with adaptive rider optimization algorithm (AROA), a novel technique for spectrum sensing in CRN utilizing fractional gray wolf optimization with the cuckoo search optimization (GWOCS), and adaptive neuro-fuzzy inference scheme depending on cooperative spectrum sensing optimization in CRNs (ANFIS). This paper presents a novel method using energy detection and nonparametric amplitude quantization, optimized with the arithmetic optimization algorithm (AOA), for spectrum sensing in cognitive radio networks (CRNs). The proposed ED-NAQ-AOA-SS method achieves superior detection probability, lower error rates, and reduced settling time compared to traditional techniques, enhancing the safety and performance of primary users in ***

关键词： arithmetic optimization algorithm cognitive radio network nonparametric amplitude quantization-based energy detection

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