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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2005: Knowledge-Based Intelligent Information and Engineering Systems pp 164–169Cite as

Genetic Modeling: Solution to Channel Assignment Problem

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

Interference in wireless/mobile communications can be reduced by deploying efficient radio subsystems and by making use of channel assignment techniques. The number of frequencies assigned to each base station must be chosen large enough to satisfy the given demand in the corresponding cell. In this paper, authors made an attempt to combine advantages of all existing individual techniques, which results legal frequency assignments without any interference. The main optimization work with the genetic algorithm is done to search for an optimal call list and not to directly find an optimal frequency assignment. The application of our combined genetic algorithm method to very different frequency-assignment problems has revealed that it is possible to get very good results without any parameter adjustment.

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References

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Author information

Authors and Affiliations

  1. Electronics Dept, G.H.Raisoni College Of Engineering, Nagpur, India

    Preeti Bajaj, Amol Deshmukh, S. Dorle & D. Padole

  2. Electronics Dept, Visvesvaraya National Institute of Technology,  

    Avinash G. Keskar

Authors
  1. Preeti Bajaj
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  2. Avinash G. Keskar
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  3. Amol Deshmukh
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  4. S. Dorle
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  5. D. Padole
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Bajaj, P., Keskar, A.G., Deshmukh, A., Dorle, S., Padole, D. (2005). Genetic Modeling: Solution to Channel Assignment Problem. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_24

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  • DOI: https://doi.org/10.1007/11554028_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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