Joint optimization algorithm of sensing thresholds and cooperative users in cooperative detection
REN Jing-qiu1, ZHANG Guang-hua1,2, LIU Xin2
1.School of Electric Information Engineering, Northeast Petroleum University, Daqing 163318,China;2.Communication Research Center, Harbin Institute of Technology, Harbin 150001,China
Abstract:
Cooperative detection is an effective method to improve the spectrum sensing of Cognitive Radio (CR), and its detection performance can be improved through optimization. An optimization algorithm for cooperative detection based on “OR Rule” which can optimize the detection threshold of each user and the number of cooperative users simultaneously is proposed in this paper. The algorithm, which is based on minimizing the error detection probability, adopts partial fusion to improve the detection performance effectively. The simulation results show that the error detection probability of the proposed algorithm is lower than that of the cooperative detection algorithm with the settled threshold, and the better performance can be achieved through choosing fewer users.
Key words: cognitive radio cooperative detection energy detection error detection probability
DOI：10.11916/j.issn.1005-9113.2012.05.005
Clc Number:TN911.23
Fund:
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Joint optimization algorithm of sensing thresholds and cooperative users in cooperative detection
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Joint optimization algorithm sensing thresholds
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