This paper explores the concept of cognitive radio networks (CRNs) with a focus on spectrum sharing and optimization. Cognitive radio technology enables wireless communication systems to adapt to their environment, enhancing their efficiency and flexibility by dynamically adjusting to available frequencies. The primary objective of CRNs is to utilize the radio spectrum more efficiently, mitigating the increasing demand for wireless bandwidth. This abstract delves into the principles of cognitive radio networks, their architecture, and their potential to revolutionize spectrum management. It discusses various spectrum-sharing strategies, such as underlay, overlay, and interweave, and analyzes their impact on network performance. Furthermore, the paper examines optimization algorithms and techniques that enable CRNs to maximize spectral efficiency, reduce interference, and enhance overall network throughput. The findings reveal that cognitive radio networks have the potential to address current and future spectrum challenges, promoting a more sustainable and efficient wireless communication landscape.
Anderson, E. Cognitive Radio Networks for Spectrum Sharing and Optimization. Information Sciences and Technological Innovations, 2021, 3, 17. https://doi.org/10.69610/j.isti.20210317
AMA Style
Anderson E. Cognitive Radio Networks for Spectrum Sharing and Optimization. Information Sciences and Technological Innovations; 2021, 3(1):17. https://doi.org/10.69610/j.isti.20210317
Chicago/Turabian Style
Anderson, Emma 2021. "Cognitive Radio Networks for Spectrum Sharing and Optimization" Information Sciences and Technological Innovations 3, no.1:17. https://doi.org/10.69610/j.isti.20210317
APA style
Anderson, E. (2021). Cognitive Radio Networks for Spectrum Sharing and Optimization. Information Sciences and Technological Innovations, 3(1), 17. https://doi.org/10.69610/j.isti.20210317
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