Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (4): 29-34.doi: 10.13190/j.jbupt.2017.04.005

• Papers • Previous Articles     Next Articles

Sensor-Based Cooperative Spectrum Sensing with Multiple Antennas over Composite Fading Channels

LI Mei-ling1, HE Wen-li1, DONG Zeng-shou1, LU Zhao-ming2   

  1. 1. School of Electronics and Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China;
    2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2016-12-27 Online:2017-08-28 Published:2017-07-10

Abstract: The censor-based cooperative spectrum sensing with multiple antennas (C-MA-CSS) was proposed, the closed-form expressions for the detection probability, miss-detection probability, the false-alarm probability and the secondary throughput were derived using the mixture Gamma distribution under the composite fading sensing channels. Then, the relationships between them and the number of antennas were analyzed, and the optimal algorithm for maximizing the secondary throughput was also given. Simulation results demonstrated that lower miss-detection probability can be achieved in C-MA-CSS compared to the non-censoring CSS. Besides, the secondary throughput monotonically increased rapidly first and slowly after. Meanwhile, optimal secondary throughput can be achieved with smaller number of antennas by the proposed algorithm while maintaining the target detection probability.

Key words: cooperative spectrum sensing with multiple antennas, composite fading channels, mixture Gamma distribution, detection performance, secondary throughput

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