Optimal power allocation for multi-group multicast under sensing-based spectrum sharing cognitive radio networks

Abstract

Multi-Group multicast (MGMC) technology will play a very important role in the future multimedia communication application. It is valuable to study MGMC under the cognitive radio (CR) scenario since its spectrum efficiency. In this paper, we studied the power allocation strategy for sensing-based spectrum sharing (SSSA) CR networks, in order to maximize the overall rate of multi-group multicast (MGMC) mechanism. To effectively protect the primary user (PU) from harmful interference, we proposed an optimal resource allocation algorithm by considering the average transmit power constraint and interference power constraint for SSSA CR with MGMC under imperfect spectrum sensing case. Finally, numerical results have been obtained to compare the performances of two CR access schemes (underlay access and SSSA) and to validate the theoretical analysis.