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Fuzzy-Neural Applications in Handoff

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Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

Handoff is a process of transferring a mobile station from one base station or channel, to another. The channel change due to handoff occurs through a change in a time slot, frequency band, codeword, or a combination of these, for time division multiple access (TDMA), frequency division multiple access (FDMA), code division multiple access (CDMA), or a hybrid scheme, respectively. The handoff process determines the spectral efficiency (i.e., the maximum number of calls that can be served in a given area) and the quality perceived by users. Efficient handoff algorithms cost-effectively preserve and enhance the capacity and Quality of Service (QoS) of communication systems.

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Authors and Affiliations

  1. Technical University of Crete, Aghiou Markou, 731 32, Chania, Crete, Greece

    Professor Peter Stavroulakis

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  1. Technical University of Crete, Aghiou Markou, 731 32, Chania, Crete, Greece

    Peter Stavroulakis

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Stavroulakis, P. (2004). Fuzzy-Neural Applications in Handoff. In: Stavroulakis, P. (eds) Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18762-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-18762-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62281-6

  • Online ISBN: 978-3-642-18762-9

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