Probability-based combination for cooperative spectrum sensing in cognitive radio networks

Authors:
Xiangwei Zhou;Jun Ma;Geoffrey Ye Li;Young Hoon Kwon;Anthony C. K. Soong
Affiliations:
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA;Wireless Advanced Research, Huawei Technologies, Plano, TX;Wireless Advanced Research, Huawei Technologies, Plano, TX
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

To take advantage of time-varying spectrum opportunities, a cognitive radio (CR) network monitors the dynamic usage of the licensed band through cooperative spectrum sensing. In this paper, we propose a probability-based scheme for combination of spectrum sensing information collected from several CR users. Different from conventional cooperative spectrum sensing schemes that assume synchronous local sensing information, our scheme enables combination of both synchronous and asynchronous sensing information by utilizing the statistics of licensed band occupancy. In our scheme, the amount of information from each CR user is flexible and a simplified implementation is also feasible under a symmetrical case. Simulation results demonstrate that our scheme is robust and superior in terms of detection performance.