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A heuristic method-based parallel cooperative spectrum sensing in heterogeneous network

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Abstract

With the rapid development of the mobile Internet and the Internet of Things, the number of personal wireless devices and wireless services have grown exponentially resulting in the increase in massive data which requires massive spectrum to transmission. To improve the utilization of scarce spectrum resource, cognitive radio (CR) is considered as the most promising technology. Spectrum sensing is the premise and key technology in CR. However, current spectrum sensing strategies have some issues to sense multiple heterogeneous channels in heterogeneous network, such as neglect of the different performances of each secondary user on heterogeneous channels and sensing task assignment without consideration of the selection of sensing time. To address these issues, two parallel cooperative spectrum sensing strategies based on heuristic method are proposed, which are heuristic method with sensing time exhaustion and heuristic method with sensing time heuristic. These strategies consider both the sensing task assignment and sensing time selection to maximize the available throughput under the restrictions of detection probability and false alarm probability. Monte Carlo simulations show that the proposed strategies can obtain higher available throughputs than iterative Hungarian-based strategy, improved iterative Hungarian-based strategy and greedy-based strategy.

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Acknowledgements

This paper is funded by the Science Foundation of Heilongjiang Province for the Youth (No. QC2015070), the Scientific Research Foundation for Doctor of Heilongjiang Bayi Agricultural University (No. XDB2015-28).

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Authors and Affiliations

  1. Institute of College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China

    Shuang Fu & Guoyin Zhang

  2. Institute of Electric and Information, Heilongjiang Bayi Agricultural University, Daqing, 163319, China

    Shuang Fu

  3. Advanced Wireless Communication Research Center (AWCC), University of Electro-Communications, Tokyo, 1828585, Japan

    Shuang Fu & Takeo Fujii

Authors
  1. Shuang Fu
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  2. Guoyin Zhang
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  3. Takeo Fujii
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Correspondence to Shuang Fu.

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Fu, S., Zhang, G. & Fujii, T. A heuristic method-based parallel cooperative spectrum sensing in heterogeneous network. J Supercomput 75, 3249–3263 (2019). https://doi.org/10.1007/s11227-018-2250-8

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