Prioritized Spectrum Sensing Scheme Based on Semi-Markov Process

In this paper, a novel MAC-layer spectrum sensing scheme base on continuous-time semi-Markov process is investigated for the purpose of improving spectrum sensing efficiency of cognitive radio (CR) systems. The scheme focuses on identification of the optimal sensing sequence of channel by modeling a group of licensed channels´ usage pattern as a continuous-time semi-Markov process. Experimental results show that the proposed algorithm has the potential to achieve noticeably improved performance in terms of reduction the sensing overhead and second user´s average throughput when compared to the conventional non-prioritization spectrum sensing approach, thus is suitable for CR networks.