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Performance Analysis of an Adaptive Soft Handoff Algorithm for Mobile Cellular Systems

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Management of Convergence Networks and Services (APNOMS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4238))

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Abstract

In this paper, an adaptive soft handoff algorithm, which dynamically calculates the threshold values for soft handoff based on the received signal strength, is proposed for mobile cellular communication systems. An analytical model is developed to study the performance of soft handoff algorithms. Performance is evaluated in terms of the average number active set updates, the mean size of the active set, the mean time of soft handoff, the average signal quality and link degradation probability, where a link degradation is defined to be the event that the signal strength falls below a level required for satisfactory communication. The adaptive soft handoff is shown to yield a significantly better tradeoff than the handoff algorithm with static thresholds.

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Author information

Authors and Affiliations

  1. Graduate School of Information Technology and Telecommunications, Room 428, High-Tech Center, Inha University, #253 Yonghyun-dong, Nam-gu, Incheon, 402-751, Korea

    Huamin Zhu & Kyungsup Kwak

Authors
  1. Huamin Zhu
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  2. Kyungsup Kwak
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Editor information

Editors and Affiliations

  1. Dept. of Information & Communication Engineering, Graduate School, Yeungnam University, 214-1, Dae-Dong, Gyeongsan-Si, 712-749, Gyeongbook, Korea

    Young-Tak Kim

  2. NTT West Corporation, 6-2-82 Shimaya, 554-0024, Konohana-ku Osaka, Japan

    Makoto Takano

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhu, H., Kwak, K. (2006). Performance Analysis of an Adaptive Soft Handoff Algorithm for Mobile Cellular Systems. In: Kim, YT., Takano, M. (eds) Management of Convergence Networks and Services. APNOMS 2006. Lecture Notes in Computer Science, vol 4238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876601_15

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  • DOI: https://doi.org/10.1007/11876601_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45776-3

  • Online ISBN: 978-3-540-46233-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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