Abstract:
In this paper, we introduce and thoroughly analyze an innovative spectrum sensing scheme that integrates digital watermarking techniques within the framework of cognitive radio (CR) systems. Cognitive radio technology plays a crucial role in optimizing the utilization of frequency resources, a pressing concern in the face of their increasing scarcity. It empowers secondary users to intelligently and opportunistically tap into underutilized licensed frequency bands, thereby enhancing overall spectrum efficiency. Moreover, the rise of heterogeneous networks has surfaced as a compelling strategy for boosting area capacity and enhancing coverage for broadband wireless access services. However, these networks, which operate across the same frequency spectrum, pose a significant challenge in the form of co-channel interference, complicating signal detection and data transmission. To mitigate the detrimental effects of such interference, we propose an advanced signal detection scheme specifically designed to accurately identify and differentiate signals operating within the same frequency band. Our study yields promising results, exhibiting a high probability of successful signal detection even in complex heterogeneous network environments. This advancement holds potential implications for improving communication reliability and efficiency in future wireless systems.
Keywords:
Cognitive Radio (CR), Spectrum Sensing Scheme, Digital Watermarking, Cognitive Radio
Citations:
APA:
Tursunov, O. (2021). An In-Depth Performance Evaluation of an Efficient Signal Detection Scheme Tailored for Heterogeneous Network Structures. Journal of Science and Engineering Management, 2(2), 45-54. https://doi.org/10.33832/jsem.2021.2.2.05