Fuzzification supported spectrum decision framework for cognitive radio networks

Abstract

AbstractEfficient decision support framework and swift occupation of the available licensed spectrum slot by secondary users (SUs) are the challenging issues in cognitive radio networks. An SU has to sense multiple target frequency spectrum slots in the shortest possible time before deciding to select and occupy the best idle slot for its transmission. A spectrum decision framework for the SUs in cognitive radio networks based on fuzzy logic is proposed. The activity time, possession, and quality of service of the spectrum slot lead to the decision of occupying the available spectrum slot(s). The proposed decision framework ensures that the SU's transmission in the particular spectrum slot does not cause any interference with the licensed user of the slot. The proposed method yields enhanced throughput as compared with the existing channel assignment schemes.