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Spectrum Allocation in Cognitive Radio Networks by Hybrid Analytic Hierarchy Process and Graph Coloring Theory

  • Jianfei Shi
  • Feng Li
  • Xin Liu
  • Mu Zhou
  • Jiangxin Zhang
  • Lele Cheng
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 227)

Abstract

In this paper, a graph coloring-based spectrum allocation algorithm in cognitive radio networks combined with analytic hierarchy process is proposed. By analyzing several key factors that affect the quality of the leased spectrum, the algorithm combines the graph algorithm and analytic hierarchy process to assign the optimal spectrum to cognitive users orderly. Simulation results show that the proposed algorithm can effectively improve the network efficiency compared with original algorithms and arose inconspicuous loss to the whole network’s fairness. The proposal not only improves the efficiency of spectrum allocation, but also balances the requirements of the overall fairness of cognitive radio networks.

Keywords

Cognitive radio Graph coloring Spectrum allocation Analytic hierarchy process 

References

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Jianfei Shi
    • 1
  • Feng Li
    • 1
  • Xin Liu
    • 2
  • Mu Zhou
    • 3
  • Jiangxin Zhang
    • 1
  • Lele Cheng
    • 1
  1. 1.Zhejiang University of TechnologyHangzhouChina
  2. 2.Dalian University of TechnologyDalianChina
  3. 3.Chongqing University of Posts and TelecommunicationsChongqingChina

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