Cooperative spectrum sensing based on a modified shuffled frog leaping algorithm in 5G network |
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| Institution: | 1. College of Instrumentation & Electrical Engineering, Jilin University, China;2. School of Computing and Communications, University of Technology Sydney, Australia;1. University of Kaiserslautern, Institute for Wireless Communication and Navigation, 67663 Kaiserslautern, Germany;2. HUAWEI R&D Center, No. 2222, Xin Jin Qiao Road, Pudong, Shanghai, China;1. IT - Instituto de Telecomunicações, Portugal;2. ISCTE - Instituto Universitário de Lisboa, Portugal;3. FCT - Universidade Nova de Lisboa, Portugal;4. DETI - Universidade de Aveiro, Portugal;1. Department of Electrical & Computer Engineering, Florida Institute of Technology, Melbourne, FL 32901, United States;2. Department of Electrical & Computer Engineering, Auburn University, Auburn, AL 36849, United States |
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| Abstract: | The explosion of different types of wireless communications is leading to an impending spectrum famine. As a result, spectrum sensing has gained increasing interest from governments, industry and regulators. In this paper, a novel approach for cooperative spectrum sensing is proposed based on a modified shuffled frog leaping algorithm (SFLA). This approach is to fuse the perceived results of multiple nodes, and to improve the detection reliability. Simulations are used to compare the performance of the modified SFLA to the conventional one. The performance of the proposed cooperative spectrum sensing method based on the modified SFLA and that of the cooperative spectrum sensing method using modified deflection coefficient (MDC) are also compared. Results show that the proposed SFLA outperforms the traditional SFLA, and the proposed cooperative spectrum sensing method based on the modified SFLA gives higher miss detection probability than the MDC-based method, which validates the effectiveness of the modified SFLA-based cooperative sensing method. |
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| Keywords: | Wireless radio Spectrum sensing Shuffled frog leaping algorithm Miss detection probability False-alarm probability |
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