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Optimization of Centralized Power Control by Genetic Algorithm in a DS-CDMA Cellular System

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

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Abstract

Here, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a DS-CDMA cellular system. Emphasis is put on the balance of services and convergence rate by using GAs.

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References

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Author information

Authors and Affiliations

  1. Dept. of Information and Communications, Nanjing University of Information Science and Technology, P.R. China

    J. Zhou & H. Luo

  2. Dept. of Electrical and Electronic Engineering, Niigata University, Japan

    H. Kikuchi & S. Sasaki

Authors
  1. J. Zhou
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  2. H. Kikuchi
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  3. S. Sasaki
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  4. H. Luo
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhou, J., Kikuchi, H., Sasaki, S., Luo, H. (2005). Optimization of Centralized Power Control by Genetic Algorithm in a DS-CDMA Cellular System. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_84

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  • DOI: https://doi.org/10.1007/11539902_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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