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Improved Quantum Genetic Algorithm for Competitive Spectrum Sharing in Cognitive Radios

  • Fei Li
  • Dongpo Zhu
  • Feng Tian
  • Haibo Li
Conference paper

Abstract

This chapter investigates a kind of whole new approach to spectrum sharing in cognitive radio (CR) system, quantum-inspired approach. First, we improved Quantum Genetic Algorithm (QGA) by adding quantum crossover operator to overcome the shortcomings of the original QGA, easily falling into a local extremum when used to optimize the continuous functions with many extrema. We then propose a novel spectrum sharing scheme in noncooperative game for CR system based on our improved QGA. We use QGA as competitive strategies and provide simulation results that confirm the proposed schemes have better convergence rate and higher sum capacity than genetic algorithm (GA)-based scheme, namely at most 1 bit/s/Hz increase in capacity. The results demonstrate the effectiveness and the applicability of QGA in spectrum sharing in CR system.

Keywords

Quantum genetic algorithm Spectrum sharing Cognitive radio Game theory 

Notes

Acknowledgments

This work was supported in part by the Jiangsu Government Scholarship for Overseas Studies and the National Natural Science Foundation of China (No. 61001077).

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Institute of Signal Processing and Transmission, Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of EducationNanjing University of Posts and TelecommunicationsNanjingChina
  2. 2.Department of Applied Physics and ElectronicsUmeå UniversityUmeåSweden

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