Abstract
Cognitive Radio Networks (CRNs) consider as one of the advanced and emerging technologies that can be employed in 5G/6G and beyond to satisfy the high data rate demand of wireless communication by reducing the channel scarcity problem. The objective of CRN is to permit the unlicensed/secondary users (SUs) to efficiently utilize the available licensed spectrum without affecting the operations of licensed/primary users (PUs). While implementing CRNs, SUs have to face several challenges such as the detection of PUs as well as resource allocation problems, which occur due to the interference between PU and SU, and between SU and SU. CRN faces problems like inter-symbol interference (ISI) and a lower data rate. Hence to reduce the problem of ISI and to achieve a higher data rate, the Orthogonal Frequency Division Multiplexing (OFDM) technique utilized in CRN. It proves advantageous since it lowers the ISI, pro-vides interoperability, and also improves spectrum sensing. However, OFDM exhibits a spectrum leakage problem. As a solution to this, Filter Bank based Multi-Carrier (FBMC) technique can be employed in the cognitive radio (CR) scenarios. In this paper, we explore different directions and applications where FBMC can be employed with CRNs.
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