[Smart Innovation, Systems and Technologies] Information and Communication Technology for Intelligent Systems Volume 107 (Proceedings of ICTIS 2018, Volume 2) || Selection of Optimum Sensors for Cooperative Sensing in Cognitive Radio

摘要： Joint optimization of sensing time and channel overhead without compromising with the performance of cooperative sensing is a major issue in cognitive radio (CR) network. The paper presents an idea, instead of fusing data from all CRs, fuse data from CRs which have higher reliability. The proposed model reduces sensing time and channel overhead. Simulation result shows that the proposed model outperforms the hard and soft fusion rule, especially when the CR (cooperative node) is in large number. A cooperative scenario was developed using USRP 2942R to test the technique over real-time data.