Volume 9 , Issue 1 , PP: 34-45, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Premkumar S. 1 , D. Israel 2 , S. Veerakumar 3 , T. Praveenkumar 4
Doi: https://doi.org/10.54216/IJWAC.090103
This demand can be satisfied by cognitive radio (CR) technology thanks to the growing desire to utilize existing radio frequency bands more effectively. This paper suggests a hardware-efficient, very-large spectrum sensor. In cooperative cognitive radio networks, data fusion is not provided by a new-scale integration (VLSI) architecture. The cooperative method to spectrum sensing and management as a proposed concept uses approaches for data fusion to address the difficulties. Our VLSI system delivers high throughput with exceptional performance by combining the latest sensing algorithms with an effective hardware architecture. The overall performance of the spectrum and spectrum awareness are enhanced by the cooperative theoretical radio communication system. In order to enable the network to make judgements that can be modified utilizing combined data from scattered spectrum sensors, the study examines the integration of network fusion techniques. The suggested scheme's primary characteristics are its hardware efficiency, low power consumption, and real-time flexibility for changing spectrum conditions. Through simulations and comparison with existing methods, it is assessed. System performance is tracked, and the results indicate that faster and more accurate spectrum sensing is required in order to apply notions of spectrum sharing that make sense.
Cognitive radio , Cooperative Cognitive Radio Networks , Cooperative Spectrum Sensing , Orthogonal Frequency Division Multiplexing
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