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Similarity Analysis on Spectrum State Evolutions

  • Jiachen Sun
  • Ling Yu
  • Jingming Li
  • Guoru DingEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

The correlations between spectrum state evolutions, as a kind of similarity measure, have been revealed to optimize the spectrum usage model or improve the performance in spectrum prediction. However, most existing similarity analyses only end up with the superficial similarity phenomenon. It is of great need for us to conduct the deep investigation and analysis on the similarity of spectrum state evolutions. Firstly, we design a similarity index for spectrum state evolutions based on the Euclidean distance. Then, a network of spectrum state evolutions in the frequency domain can be formed for further analysis by comparing the proposed similarity indexes of frequency points with the decision threshold. Experiments with real-world spectrum data prove the feasibility and rationality of the above similarity analysis.

Keywords

Spectrum state evolution Similarity analysis Complex network Scale-free 

Notes

Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (Grants No. 61501510 and No. 61631020), Natural Science Foundation of Jiangsu Province (Grant No. BK20150717), China Postdoctoral Science Foundation Funded Project (Grant No. 2016M590398) and Jiangsu Planned Projects for Postdoctoral Research Funds (Grant No. 1501009A).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jiachen Sun
    • 1
  • Ling Yu
    • 1
  • Jingming Li
    • 2
  • Guoru Ding
    • 1
    • 3
    Email author
  1. 1.College of Communications EngineeringArmy Engineering UniversityNanjingChina
  2. 2.Nanjing University of Aeronautics and AstronauticsNanjingChina
  3. 3.National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina

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