Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks

  • Zhendong Wang College of Computer Science and Technology Harbin Engineering University, Harbin, China
  • Huiqiang Wang College of Computer Science and Technology Harbin Engineering University, Harbin, China
  • Hongwu Lv College of Computer Science and Technology Harbin Engineering University, Harbin, China
  • Guangsheng Feng College of Computer Science and Technology Harbin Engineering University, Harbin, China

Abstract

This study intends to improve the QoS of SUs and CRNs performance. A novel spectrum migration approach based on pre-decision aid and interval Mamdani fuzzy inference is presented. we first define spectrum migration factors as spectrum characteristic metrics for spectrum migration decision. In addition, we use predecision aid to reduce system complexity and improve spectrum migration efficiency. To shorten spectrum migration decision time and seek the optimal spectrum holes, interval Mamdani fuzzy inference is put forward. Finally, simulation results show the proposed approach can inhibit the upward trend of service retransmission probability and average migration times effectively, and improve the effective utilization of CRNs spectrum resource significantly.

Author Biography

Zhendong Wang, College of Computer Science and Technology Harbin Engineering University, Harbin, China
Department of Mathematics and Computer Science

References

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Published
2014-01-03
How to Cite
WANG, Zhendong et al. Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 9, n. 1, p. 85-92, jan. 2014. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/869>. Date accessed: 05 july 2020. doi: https://doi.org/10.15837/ijccc.2014.1.869.

Keywords

cognitive radio networks, spectrum migration, pre-decision aid, interval Mamdani fuzzy inference