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Call Admission Control Using Neural Network in Wireless Multimedia Networks

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Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4493))

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Abstract

Scarcity of the spectrum resource and mobility of users make Quality-of-Service (QoS) provision a critical issue in wireless multimedia networks. This paper uses neural network as call admission controller to perform call admission decision. A performance measurement is formed as a weighted linear function of new call and handoff call blocking probabilities of each service class. Simulation compares the neural network with complete sharing policy. Simulation results show that neural network has a better performance in terms of average blocking criterion.

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References

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Author information

Authors and Affiliations

  1. Department of Weapon Engineering, Naval University of Engineering, Wuhan 430033, P.R. China

    Yufeng Ma & Shenguang Gong

Authors
  1. Yufeng Ma
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  2. Shenguang Gong
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Editor information

Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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Ma, Y., Gong, S. (2007). Call Admission Control Using Neural Network in Wireless Multimedia Networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_83

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  • DOI: https://doi.org/10.1007/978-3-540-72395-0_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72394-3

  • Online ISBN: 978-3-540-72395-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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