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Performance Analysis of Wireless Scheduling with ARQ in Fast Fading Channels

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Quality of Service – IWQoS 2005 (IWQoS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3552))

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Abstract

We develop a Markov model to study the performance of opportunistic scheduling for downlink data transmissions with type-II packet-combining hybrid ARQ in a multirate cellular network for a fast fading environment. For a two-user scenario with two feasible transmission rates, there exists an operating region within which opportunistic scheduling maintains its scheduling gain over round-robin scheduling. In ongoing work, we seek to extend the analysis of the model as well as generalize the model to a multi-user scenario.

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References

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  3. Issariyakul, T., Hossain, E.: Channel-Quality-Based Opportunistic Scheduling with ARQ in Multi-Rate Wireless Networks: Modeling and Analysis. IEEE Transactions on Wireless Communications Submitted to (2004)

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  4. Huang, J., Berry, R., Honig, M.L.: Wireless Scheduling with Hybrid ARQ. In: 38th Conference on Information Sciences and Systems (March 2004)

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Author information

Authors and Affiliations

  1. EURANDOM, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

    Hwee Pink Tan

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  1. Hwee Pink Tan
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Editors and Affiliations

  1. Institute of IT-Security and Security Law, University of Passau, Germany

    Hermann de Meer

  2. Hewlett-Packard Laboratories, 1501 Page Mill Road, CA 94304, Palo Alto, USA

    Nina Bhatti

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© 2005 Springer-Verlag Berlin Heidelberg

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Tan, H.P. (2005). Performance Analysis of Wireless Scheduling with ARQ in Fast Fading Channels. In: de Meer, H., Bhatti, N. (eds) Quality of Service – IWQoS 2005. IWQoS 2005. Lecture Notes in Computer Science, vol 3552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499169_32

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  • DOI: https://doi.org/10.1007/11499169_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26294-7

  • Online ISBN: 978-3-540-31659-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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