이기종 사용자 기반 협력스펙트럼 감지를 위한 적응형그룹화 알고리즘

초록

In this paper, we propose a grouping algorithm for group-based cooperative spectrum sensing in multi-channel environments where the secondary users’ sensing performances are different. The proposed algorithm increases the total network throughput with a grouping by considering the error probability of secondary users. Simulation results show that the proposed algorithm can improve the sensing accuracy and total network throughput significantly compared to the conventional algorithm.

키워드