Radio resource management in OFDMA-CRN considering primary user activity and detection scenario

In this paper an adaptive radio resource allocation scheme is developed for OFDMA based cognitive radio network (OFDMA-CRN), which not only considers the dynamic nature of primary users but also includes the detection scenario of unused licensed spectrum. In contrast to the existing research for OFDMA-CR systems which consider either of these issues independently, our approach tackles both of these concerns jointly and finds optimal solution. The proposed sub-carrier and power allocation (SPA) algorithm optimally selects and computes optimal power loading for each sub-carrier thereby increases sum data rate and overall throughput of the system.