基于置信传播分组的多任务压缩频谱感知

doi:10.3969/j.issn.0255-8297.2014.04.002

Abstract

Abstract: As coverage of primary users overlaps in cognitive radio, a method grouping secondary users first and cooperative spectrum sensing within group afterwards is introduced. A grouping algorithm using similarity of secondary users based on simplified belief propagation (BP) is proposed to exploit the previous spectrum sensing information of all secondary users and extract relevant parameters from the exploited information.The current secondary users are then grouped with the BP algorithm according to the extracted relevant parameters. We use a multi-task compressed spectrum sensing method with better recovery ability in current cooperative spectrum sensing methods within each group. Simulation results show that, in a heterogeneous spectrum situation, the proposed method can improve probability of correct detection of the spectrum sensing under better probability of false alarm compared to other methods. The spectrum sensing results are improved with the increasing of the sensing users.

Key words: cognitive radio, compressed spectrum sensing, BP grouping, multi-task, heterogeneous spectrum environment

CLC Number:

TN911.7

WANG Yong, LI Hong, QI Li-na. Multi-task Compressed Spectrum Sensing Based on Belief Propagation Grouping[J]. Journal of Applied Sciences, 2014, 32(4): 341-348.

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Multi-task Compressed Spectrum Sensing Based on Belief Propagation Grouping

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