Study of Cognitive Radio Techniques for Dynamic Spectrum Allocation

Cognitive Radio (CR) helps to allocate the available Radio Frequency (RF) spectrum of an essential (authorized) client and an auxiliary client. In the cognitive radio technology also known as Dynamic Spectrum Access (DSA), secondary clients may take advantage of the numerous spectrum gaps in allowed spectrum groups. This research study presents a review on signal processing techniques used for performing spectrum detection in CR networks, with the aim of enabling unlicensed auxiliary clients to adjust their transmission boundaries to the RF environment while considering the necessities of including authorized clients. This study distinguishes five fundamental groups of signal processing algorithms to perform spectrum sensing and present the dynamic spectrum sharing models for spectrum access. Furthermore, this study contrasts the advantages and disadvantages of each technique when applied to system administration frameworks, these solutions are evaluated by using metrics, such as the speed with which they may investigate spectrum consumption and its influence in system administration effectiveness. Signal processing and identification approaches for performing spectrum detection in cognitive radio networks are also investigated along with its current progressive phase, research flow issues, and future objectives.