Title :
A Sequential Sensing Data Transmission and Fusion Approach for Large Scale Cognitive Radios
Author :
Rao, Yu ; Chen, Wei ; Cao, Zhigang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Cognitive radios are efficient techniques to improve the utilization of the spectrum. Spectrum sensing is the key functionality to improve the spectrum efficiency and avoid harmful interference to the licensed users. By exploiting the spatial diversity of the different secondary users, cooperative sensing can achieve better sensing performance compared to the local sensing, thereby, receiving much attention recently. However, in large scale cognitive radio networks, such as Wireless Regional Area Network (WRAN) defined by IEEE 802.22, the secondary users may have quite different sensing SNRs due to the different pass loss and other environment parameters. How to efficiently transmit and fuse the sensing data of cooperative sensing in large scale cognitive radios have not been fully studied yet. This paper presents a sequential sensing data transmission and fusion approach for large scale cognitive radios to minimize the average sensing time by dividing the users into different sets according to their SNR parameters. The analytical and simulation results both show that the proposed approach not only decreases the sensing time but also certifies the accuracy of detection.
Keywords :
cognitive radio; data communication; interference suppression; radiofrequency interference; sensor fusion; IEEE 802.22; cooperative sensing; data fusion approach; data transmission; fusion approach; interference avoidance; large scale cognitive radios; sequential sensing data transmission; spatial diversity; wireless regional area network; Chromium; Cognitive radio; Data communication; Digital-to-frequency converters; Educational programs; Fuses; Interference; Laboratories; Large-scale systems; Wireless sensor networks;
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6402-9
DOI :
10.1109/ICC.2010.5502027